Publikationen

280 Ergebnisse

2014

Assam R., Seidl T.:
Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields
Proc. IEEE  11th International Conference on Ubiquitous Intelligence and Computing (UIC-2014), Bali, Indonesia (2014)
[UIC 2014]
Assam R., Seidl T.:
Check-in Location Prediction using Wavelets and Conditional Random Fields
Proc. IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China (2014)
[ICDM 2014]
Assam R., Seidl T.:
Effective Map Matching using Curve Tangents and Hidden Markov Model
Proceedings of the  10th IEEE International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2014), Maui, Hawaii, USA (2014)
[MSN 2014]
Assam R., Seidl T.:
Prediction of Freezing of Gait from Parkinson's Disease Movement Time Series using Conditional Random Fields
Proc. of the Third ACM SIGSPATIAL International Workshop on HealthGIS (HealthGIS 2014), Dallas, Texas, USA (2014)
[ACM HealthGIS] [ACM SIGSPATIAL]
Assam R., Seidl T.:
Context-Based Location Clustering and Prediction using Conditional Random Fields
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia (MUM 2014), Melbourne, Australia (2014)
[MUM 2014]
Tobias Vaegs, Paula Niemietz, Christian Tummel, Anja Richert, Beecks C., Max Haberstroh, Hassani M., Tobias Meisen, Matthias Priesters, Helmut Vieritz, Seidl T., Irene Mittelberg, Stella Neumann, Sabina Jeschke:
FOSTERING INTERDISCIPLINARY INTEGRATION IN THE E-HUMANITIES
Proceedings of the 6th International Conference on Education and New Learning Technologie EDULEARN14, Barcelona, Spain S.2340-1117 (2014)
[Paper at IATED digital library]
Zimmer (née Ivanescu) A., Driessen P., Kranen P., Seidl T.:
Inverse Predictions on Continuous Models in Scientific Databases
Proceedings of the 26th International Conference on Scientific and Statistical Database Management (2014) InversePredictionPaper.pdf
[SSDBM 2014]
Assam R., Seidl T.:
Activity Recognition from Sensors using Dyadic Wavelets and Hidden Markov Model
Proc. of the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2014), Larnaca, Cyprus. (2014)
[WiMob 2014]
Boden B., Ester M., Seidl T.:
Density-Based Subspace Clustering in Heterogeneous Networks
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France (2014)
Assam R., Hassani M., Brysch M., Seidl T.:
(k, d)-Core Anonymity: Structural Anonymization of Massive Networks
Proc. of the 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), Aalborg, Denmark. (2014) Article No. 17
[SSDBM 2014]
Hassani M., Seidl T.:
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering
Workshop on Big Data Management and Analytics (BDMA'14), held in conjunction with DASFAA'14 conference (19th International Conference on Database Systems for Advanced Applications, Bali, Indonesia) S.146-160 (2014)
[BDMA14] [DASFAA14]
Fries S., Wels S., Seidl T.:
Projected Clustering for Huge Data Sets in MapReduce
International Conference on Extending Database Technology (EDBT 2014), Athens, Greece S.49-60 (2014)
[EDBT 2014]
Assam R., Seidl T.:
Insights and Knowledge Discovery from Big Geospatial Data using TMC-Pattern
Hassan A. Karimi (Ed.):  Big Data: Techniques and Technologies in Geoinformatics S.233 - 257 (2014)
[CRC Press]
Hassani M., Kranen P., Saini R., Seidl T.:
Subspace Anytime Stream Clustering
Proc. of the 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), Aalborg, Denmark. (2014) Article No. 37
[SSDBM 2014]
Hassani M., Spaus P., Seidl T.:
Adaptive Multiple-Resolution Stream Clustering
In Proceedings of the 10th International Conference on Machine Learning and Data Mining MLDM 2014, July, 21-24, St. Petersburg, Russia. S.134-148 (2014)
[MLDM 2014]
Hassani M., Ayman Tarakji, Lyubomir Georgiev, Seidl T.:
Parallel Implementation of a Density-based Stream Clustering Algorithm over a GPU Scheduling System
Workshop on Scalable Data Analytics: Theory and Applications (SDA'14), held in conjunction with PAKDD'14 conference (18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan) (to appear) (2014)
[SDA14] [PAKDD14]
Fries S., Boden B., Stepien G., Seidl T.:
PHiDJ: Parallel Similarity Self-Join for High-Dimensional Vector Data with MapReduce
Proc. IEEE 30th International Conference on Data Engineering (ICDE 2014), Chicago, IL, USA (2014)
[ICDE 2014]

2013

Günnemann S., Färber I., Raubach S., Seidl T.:
Spectral Subspace Clustering for Graphs with Feature Vectors
Proc. IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA S.231-240 (2013)
[ICDM 2013] [supplementary material]
Assam R., Seidl T.:
BodyGuards: A Clairvoyant Location Predictor using Frequent Neighbors and Markov Model
Proc. IEEE  10th International Conference on Ubiquitous Intelligence and Computing (UIC-2013), Vietri sul Mare, Italy S.25-32 (2013)
[UIC 2013]
Zimmer (née Ivanescu) A., Kurze M., Seidl T.:
Adaptive Model Tree for Streaming Data
Proc. IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA S.1319-1324 (2013) AdaptiveModelTreePaper.pdf
[ICDM 2013]
Kremer H., Günnemann S., Held A., Seidl T.:
An Evaluation Framework for Temporal Subspace Clustering Approaches
Proc. IEEE International Conference on Data Mining Workshops (ICDMW), Dallas, TX, USA  S.1089-1092 (2013) (Demo)
[ICDM 2013]
Assam R., Seidl T.:
Private Map Matching: Realistic Private Route Cognition on Road Networks
Proc. IEEE  10th International Conference on Ubiquitous Intelligence and Computing (UIC-2013), Vietri sul Mare, Italy S.178-185 (2013)
[UIC 2013]
Helmut Vieritz, Tobias Meisen, Tobias Vaegs, Sabina Jeschke, Hassani M., Beecks C., Seidl T., Matthias Priesters, Irene Mittelberg, Paula Niemietz, Tatiana Serbina, Stella Neumann:
e-cosmos: Cluster-Analysen zeitelastischer, multimodaler Daten in der Linguistik
LingUnite RWTH Aachen Tag der Sprachforschung. (Poster) (2013)
[LingUnite]
Boden B., Haag R., Seidl T.:
Detecting and Exploring Clusters in Attributed Graphs
Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM 2013), San Francisco, CA, USA S.2505-2508 (2013) (Demo)
[CIKM 2013]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at the 30th International Conference on Machine Learning (ICML 2013), Atlanta, USA (2013)
[ICML 2013] [Tutorial Website]
Ayman Tarakji, Hassani M., Stefan Lankes, Seidl T.:
Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data
In Proceedings of the 13th International Conference onComputational Science and its Applications (ICCSA 2013) in Ho Chi Minh City, Vietnam. Part V, LNCS 7975, pp.181--196. S.181-196 (2013)
[ICCSA]
Boden B., Günnemann S., Hoffmann H., Seidl T.:
RMiCS: A Robust Approach for Mining Coherent Subgraphs in Edge-Labeled Multi-Layer Graphs
Proc. of the 25th International Conference on Scientific and Statistical Database Management (SSDBM 2013), Baltimore, Maryland, USA S.23 (2013)
[SSDBM 2013]
Christoph Quix, Johannes Barnickel, Sandra Geisler, Hassani M., Saim Kim, Xiang Li, Andreas Lorenz, Till Quadflieg, Thomas Gries, Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, Seidl T.:
HealthNet: A System for Mobile and Wearable Health Information Management
Proc. of the 3rd International Workshop on Information Management in Mobile Applications (IMMoA 2013) in conjunction with VLDB 2013, Riva del Garda, Trento, Italy. S.36-43 (2013)
[IMMoA 2013] [VLDB 2013]
Kremer H., Günnemann S., Wollwage S., Seidl T.:
Nesting the Earth Mover's Distance for Effective Cluster Tracing
Proc. of the 25th International Conference on Scientific and Statistical Database Management (SSDBM), Baltimore, Maryland, USA S.34:1-34:4 (2013)
[SSDBM 2013]
Assam R., Seidl T.:
A Model for Context-Aware Location Identity Preservation using Differential Privacy
Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-13), Melbourne, Australia S.346-353 (2013)
[IEEE TrustCom 2013]
Beecks C., Uysal M., Driessen P., Seidl T.:
Content-Based Exploration of Multimedia Databases
Proc. of International Workshop on Content-Based Multimedia Indexing (CBMI 2013), Veszprém, Hungary, 17-19 June 2013 S.59 - 64 (2013)
[CBMI 2013]
Beecks C., Kirchhoff S., Seidl T.:
Signature Matching Distance for Content-based Image Retrieval
Proc. ACM International Conference on Multimedia Retrieval (ICMR 2013), Dallas, Texas, USA S.41-48 (2013) p41-beecks.pdf
[ICMR 2013]
Hassani M., Kim Y., Seungjin Choi, Seidl T.:
Effective Evaluation Measures for Subspace Clustering of Data Streams
The third Quality issues, measures of interestingness and evaluation of data mining models workshop (QIMIE'13), held in conjunction with PAKDD'13 conference (17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Australia) S.342-353 (2013)
[QIMIE13] [PAKDD13]
Hassani M., Kim Y., Seidl T.:
Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework
The 18th International Conference on Database Systems for Advanced Applications (DASFAA 2013), Wuhan, China (Best Demo Award Runner-Up) S.446-449 (2013) (Demo)
[DASFAA 2013]
Günnemann S., Boden B., Färber I., Seidl T.:
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors
Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Queensland, Australia S.261-275 (2013)
[Supplementary Material]
Seidl T., Fries S., Boden B.:
MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce
15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013), Magdeburg, Germany S.37-56 (2013)

2012

Hassani M., Seidl T.:
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise
Journal of Digital Information Management (JDIM) Volume 10, No. 6, December 2012 S.410-420 (2012)
[JDIM ] [Volume 10, Issue 6, December 2012]
Assam R., Hassani M., Seidl T.:
Differential Private Trajectory Obfuscation
Proc. of the 9th International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2012), Beijing, China S.139-151 (2012)
[MOBIQUITOUS 2012]
Tatu A., Maaß F., Färber I., Bertini E., Schreck T., Seidl T., Keim D. A.:
Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data
Proc. IEEE Symposium on Visual Analytics Science and Technology S.63-72 (2012)
[IEEE-VAST 2012]
Assam R., Seidl T.:
TMC-Pattern: Holistic Trajectory Extraction, Modeling and Mining
Proc. of 1st International Workshop on Analytics for Big Geospatial Data (BigSpatial-2012), held in conjunction with 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, CA, USA S.71-80 (2012)
[BigSpatial 2012] [ACM SIGSPATIAL GIS 2012]
Zimmer (née Ivanescu) A., Albin T., Abel D., Seidl T.:
Employing the Principal Hessian Direction for Building Hinging Hyperplane Models
Workshop on Optimization Based Techniques for Emerging Data Mining (OEDM 2012) in conjunction with the IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium. S.481-485 (2012) HHmodelsPrincipalHessianDirection.pdf
[ICDM 2012]
Assam R., Hassani M., Seidl T.:
Differential Private Trajectory Protection of Moving Objects
Proc. of 3rd International Workshop on GeoStreaming (IWGS 2012), held in conjunction with 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, CA, USA S.68-77 (2012)
[IWGS 2012] [ACM SIGSPATIAL GIS 2012]
Günnemann S., Kremer H., Laufkötter C., Seidl T.:
Tracing Evolving Subspace Clusters in Temporal Climate Data
Data Mining and Knowledge Discovery Journal (DMKD), Vol. 24, Nr. 2 S.387-410 (2012)
[Full Text PDF (Springer Open Access)]
Kremer H., Günnemann S., Held A., Seidl T.:
Effective and Robust Mining of Temporal Subspace Clusters
Proc. IEEE International Conference on Data Mining (ICDM), Brussels, Belgium S.369-378 (2012)
[ICDM 2012]
Kranen P., Wels S., Rohlfs T., Raubach S., Seidl T.:
A Tool for Automated Evaluation of Algorithms
Proceedings of The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Maui, USA S.2692-2694 (2012) (Demo)
Boden B., Günnemann S., Seidl T.:
Tracing Clusters in Evolving Graphs with Node Attributes
Proceedings of The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Maui, USA  S.2331-2334 (2012) (poster presentation)
Seidl T., Boden B., Fries S.:
CC-MR - Finding Connected Components in Huge Graphs with MapReduce
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK S.458-473 (2012) Here (http://dme.rwth-aachen.de/en/ccmr) you find the supplementary material for the paper.
Hassani M., Spaus P., Mohamed Medhat Gaber, Seidl T.:
Density-Based Projected Clustering of Data Streams
The 6th International conference on Scalable Uncertainty Management (SUM 2012), Marburg, Germany. LNAI 7520 S.311-324 (2012)
[SUM 2012]
Günnemann S., Boden B., Seidl T.:
Finding Density-Based Subspace Clusters in Graphs with Feature Vectors
Data Mining and Knowledge Discovery Journal (DMKD), Vol. 25, Nr. 2 S.243-269 (2012)
[Supplementary Material]
Günnemann S., Färber I., Seidl T.:
Multi-View Clustering Using Mixture Models in Subspace Projections
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China S.132-140 (2012)
[KDD 2012] [Supplementary material]
Günnemann S., Färber I., Virochsiri K., Seidl T.:
Subspace Correlation Clustering: Finding Locally Correlated Dimensions in Subspace Projections of the Data
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China S.352-360 (2012)
[KDD 2012] [slides]
Boden B., Günnemann S., Hoffmann H., Seidl T.:
Mining Coherent Subgraphs in Multi-Layer Graphs with Edge Labels
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China S.1258-1266 (2012)
[KDD 2012]
Günnemann S., Boden B., Seidl T.:
Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types
Proc. of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece S.280-297 (2012)
[SSDBM 2012]
Zimmer (née Ivanescu) A., Kranen P., Seidl T.:
Hinging Hyperplane Models for Multiple Predicted Variables
Proceedings of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece S.431-448 (2012) MultivariateHingingHyperplaneModels.pdf
[SSDBM 2012]
Kranen P., Hassani M., Seidl T.:
BT* - An Advanced Algorithm for Anytime Classification
Proc. of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece S.298-315 (2012)
[SSDBM 2012]
Hassani M., Seidl T.:
Resource-Aware Distributed Clustering of Drifting Sensor Data Streams
The 4th International Conference on Networked Digital Technologies (NDT 2012), Dubai, UAE. S.592-607 (2012)
[NDT 2012]
Kranen P., Assent I., Seidl T.:
An Index-inspired Algorithm for Anytime Classification on Evolving Data Streams
Datenbank-Spektrum (Springer DASP), Volume 12, Issue 1 S.43-50 (2012) DOI: 10.1007/s13222-012-0083-9
[DASP Journal - full text]
Lokoč J., Skopal T., Beecks C., Seidl T.:
Nonmetric Earth Mover's Distance for Efficient Similarity Search
Proc. 4th International Conference on Advances in Multimedia (MMEDIA 2012), Chamonix/Mont Blanc, France (2012) to appear
[MMEDIA 2012]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), Kuala Lumpur, Malaysia (2012)
[PAKDD 2012] [Tutorial Website]
Kremer H., Günnemann S., Held A., Seidl T.:
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases
Proceedings 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Kuala Lumpur, Malaysia S.444-455 (2012)  
[PAKDD 2012] [full text PDF]
Günnemann S., Kremer H., Musiol R., Haag R., Seidl T.:
A Subspace Clustering Extension for the KNIME Data Mining Framework
Proc. IEEE International Conference on Data Mining Workshops (ICDMW), Brussels, Belgium S.886-889 (2012) (Demo)
[ICDM 2012] [Download Page]
Assent I., Kranen P., Baldauf C., Seidl T.:
AnyOut: Anytime Outlier Detection on Streaming Data
The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), Busan, South Korea (2012)
[DASFAA 2012]
Zimmer (née Ivanescu) A., Kranen P., Smieschek M., Driessen P., Seidl T.:
PA-Miner: Process Analysis using Retrieval, Modeling, and Prediction
The 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), Busan, South Korea (2012) (Demo)
[DASFAA 2012]
Kranen P., Kremer H., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B., Read J.:
Stream Data Mining using the MOA Framework
The 17th International Conference on Database Systems for Advanced Applications (DASFAA), Busan, South Korea S.309-313 (2012) (Demo)
[DASFAA 2012]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at IEEE 28th International Conference on Data Engineering (ICDE 2012), Washington, DC, USA (2012)
[ICDE 2012] [Tutorial Website]
Beecks C., Seidl T.:
On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval
Proc. 18th International Conference on MultiMedia Modeling (MMM 2012), Klagenfurt, Austria S.346-357 (2012)
[MMM 2012] [Prezi presentation]

2011

Günnemann S., Müller E., Raubach S., Seidl T.:
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values
Proc. IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada (2011)
[ICDM 2011]
Kranen P., Assent I., Baldauf C., Seidl T.:
The ClusTree: Indexing Micro-Clusters for Anytime Stream Mining
Knowledge and Information Systems Journal (Springer KAIS), Volume 29, Issue 2 S.249-272 (2011) DOI 10.1007/s10115-010-0342-8
[KAIS Journal - full text]
Assam R., Seidl T.:
Preserving Privacy of Moving Objects Spatio-Temporal Data Stream Using Temporal Clustering
4th ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS (SPRINGl 2011), held in conjunction with 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011) November 1-4, 2011 in Chicago, Illinois, USA. S. 9-16 (2011)
[SPRINGL 2011] [ACM SIGSPATIAL GIS 2011]
Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Efficient Database Techniques for Identification with Fuzzy Vault Templates
BIOSIG 2011 - Proceedings of the Special Interest Group on Biometrics and Electronic Signatures S.115-126 (2011)
[GI article]
Beecks C., Skopal T., Schöffmann K., Seidl T.:
Towards Large-Scale Multimedia Exploration
Proc. 5th International Workshop on Ranking in Databases (DBRank 2011), Seattle, WA, USA S.31-33 (2011)
[DBRank 2011] [Prezi presentation]
Albin T., Drews P., Heßeler F., Zimmer (née Ivanescu) A., Seidl T., Abel D.:
A Hybrid Control Approach for Low Temperature Combustion Engine Control
Proc. 50th IEEE Conference on Decision and Control and European Control Conference (CDC ECC 2011), Orlando, Florida (2011)
[CDC ECC 2011]
Beecks C., Zimmer (née Ivanescu) A., Kirchhoff S., Seidl T.:
Modeling Multimedia Contents through Probabilistic Feature Signatures
Proc. 19th ACM International Conference on Multimedia (ACM-MM 2011), Scottsdale, Arizona, USA (2011)
[ACM Multimedia 2011]
Seidl T., Enderle J.:
Binary Search
Vöcking, B.; Alt, H.; Dietzfelbinger, M.; Reischuk R.; Scheideler, C.; Vollmer, H.; Wagner, D. (Eds.): Algorithms Unplugged S.5-11 (2011)
[book] [chapter]
Kremer H., Kranen P., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
An Effective Evaluation Measure for Clustering on Evolving Data Streams
Proc. of the 17th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD 2011), San Diego, CA, USA S.868-876 (2011)
[KDD 2011] [DOI: 10.1145/2020408.2020555]
Beecks C., Zimmer (née Ivanescu) A., Kirchhoff S., Seidl T.:
Modeling Image Similarity by Gaussian Mixture Models and the Signature Quadratic Form Distance
Proc. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain (2011)
[ICCV 2011]
Zimmer (née Ivanescu) A., Albin T., Abel D., Seidl T.:
Employing Correlation Clustering for the Identification of Piecewise Affine Models
Workshop on Knowledge Discovery, Modeling and Simulation (KDMS 2011) in conjunction with the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), CA, San Diego, USA  S.7-14 (2011) Best Student Paper Award
[KDMS 2011] [KDD 2011]
Kruliš M., Lokoč J., Beecks C., Skopal T., Seidl T.:
Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK (2011)
[CIKM 2011]
Hassani M., Kranen P., Seidl T.:
Precise Anytime Clustering of Noisy Sensor Data with Logarithmic Complexity
Proc. 5th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2011) in conjunction with 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA S.52-60 (2011)
[SensorKDD 2011] [KDD 2011]
Günnemann S., Färber I., Müller E., Assent I., Seidl T.:
External Evaluation Measures for Subspace Clustering
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK S.1363-1372 (2011)
[CIKM 2011]
Müller E., Assent I., Günnemann S., Seidl T.:
Scalable Density-Based Subspace Clustering
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK S.1077-1086 (2011)
[CIKM 2011]
Günnemann S., Boden B., Seidl T.:
DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece S.565-580 (2011) ECML PKDD 2011 Best Paper Award in Data Mining
[ECML PKDD 2011] [Full Text PDF] [Supplementary Material]
Beecks C., Zimmer (née Ivanescu) A., Seidl T., Martin D., Pischke P., Kneer R.:
Applying Similarity Search for the Investigation of the Fuel Injection Process
Proc. 4th International Conference on Similarity Search and Applications (SISAP 2011), Lipari, Italy S.117-118 (2011)
[SISAP 2011]
Lokoč J., Beecks C., Seidl T., Skopal T.:
Parameterized Earth Mover’s Distance for Efficient Metric Space Indexing
Proc. 4th International Conference on Similarity Search and Applications (SISAP 2011), Lipari, Italy S.121-122 (2011)
[SISAP 2011]
Hassani M., Seidl T.:
Network Intrusion Detection using a Secure Ranking of Hidden Outliers
Proc. of the seventh International Computing Conference in Arabic (ICCA 2011), Riyadh, Saudi Arabia (to appear) (2011)
[ICCA 2011]
Kremer H., Günnemann S., Zimmer (née Ivanescu) A., Assent I., Seidl T.:
Efficient Processing of Multiple DTW Queries in Time Series Databases
Proc. of the 23nd International Conference on Scientific and Statistical Database Management (SSDBM 2011), Portland, Oregon, USA S.150-167 (2011)
[SSDBM 2011]
Kranen P., Reidl F., Sanchez Villaamil F., Seidl T.:
Hierarchical Clustering for Real-Time Stream Data with Noise
Proc. of the 23nd International Conference on Scientific and Statistical Database Management (SSDBM 2011), Portland, Oregon, USA S.405-413 (2011)
[SSDBM 2011]
Hassani M., Seidl T.:
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams
Proc. of the international workshop on managing Health Information in Mobile Applications (HIMoA'11) in conjunction with the IEEE International conference on Mobile Data Management (MDM 2011), Luleå, Sweden. S.55-57 (2011)
[MDM 2011] [HIMoA 2011]
Busch C., Korte U., Abt S., Böhm C., Färber I., Fries S., Merkle J., Nickel C., Nouak A., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P., Zhou X.:
Biometric Template Protection: Ein Bericht über das Projekt BioKeyS
Datenschutz und Datensicherheit - DuD, Volume 35, Number 3 S.183-191 (2011)
Beecks C., Seidl T.:
Analyzing the Inner Workings of the Signature Quadratic Form Distance
Proc. IEEE International Conference on Multimedia & Expo (ICME 2011), (International Workshop on Visual Content Identification and Search (VCIDS 2011)), (2011) (to appear)
[ICME 2011]
Beecks C., Lokoč J., Seidl T., Skopal T.:
Indexing the Signature Quadratic Form Distance for Efficient Content-Based Multimedia Retrieval
Proc. ACM International Conference on Multimedia Retrieval (ICMR 2011), Trento, Italy S.24:1-24:8 (2011)
[ICMR 2011]
Zimmer (née Ivanescu) A., Wichterich M., Seidl T.:
ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information
Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), in conjunction with the International Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Shenzhen, China. S.185-196 (2011) classRank.pdf
[PAKDD 2011] [QIMIE 2011] [DOI: 10.1007/978-3-642-28320-8_16]
Günnemann S., Kremer H., Laufkötter C., Seidl T.:
Tracing Evolving Clusters by Subspace and Value Similarity
Proc. 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Shenzhen, China S.444-456 (2011)
[PAKDD 2011]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at SIAM International Conference on Data Mining (SDM 2011), Mesa, Arizona, USA. (2011)
[SDM 2011] [Tutorial Website]
Günnemann S., Kremer H., Lenhard D., Seidl T.:
Subspace Clustering for Indexing High Dimensional Data: A Main Memory Index based on Local Reductions and Individual Multi-Representations
Proc. International Conference on Extending Database Technology (EDBT/ICDT 2011), Uppsala, Sweden  S.237-248 (2011)
[EDBT 2011]
Günnemann S., Kremer H., Seidl T.:
An Extension of the PMML Standard to Subspace Clustering Models
Workshop on Predictive Model Markup Language (PMML) in conj. with the 17th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD 2011), San Diego, CA, USA S.48-53 (2011)
[PMML 2011] [KDD 2011] [Full Text PDF]
Bifet A., Holmes G., Pfahringer B., Read J., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: a Real-time Analytics Open Source Framework
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece S.617-620 (2011) (Demo)
[ECML PKDD 2011]
Müller E., Schiffer M., Seidl T.:
Statistical Selection of Relevant Subspace Projections for Outlier Ranking
Proc. IEEE 27th International Conference on Data Engineering (ICDE 2011), Hannover, Germany S.434-445 (2011) (full paper acceptance rate 19.8%)
[ICDE 2011]
Beecks C., Assent I., Seidl T.:
Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences
Proc. 17th International Conference on MultiMedia Modeling (MMM 2011), Taipei, Taiwan S.140-150 (2011)
[MMM 2011]
Beecks C., Uysal M., Seidl T.:
L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases
Proc. 17th International Conference on MultiMedia Modeling (MMM 2011), Taipei, Taiwan S.381-391 (2011)
[MMM 2011]
Wichterich M., Zimmer (née Ivanescu) A., Seidl T.:
Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany S.135-146 (2011)
[BTW 2011]
Müller E., Assent I., Günnemann S., Gerwert P., Hannen M., Jansen T., Seidl T.:
A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany S.347-366 (2011)
[BTW 2011]
Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Filtertechniken für geschützte biometrische Datenbanken
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany S.379-389 (2011)
[BTW 2011]
Hassani M., Kranen P., Seidl T.:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time
KDML Workshop on Knowledge Discovery, Data Mining and Machine Learning in conj. with LWA 2011, Magdeburg, Germany (2011)
[LWA 2011]
Faber M., Beecks C., Seidl T.:
Efficient Exploration of Large Multimedia Databases
Abstract in Dutch-Belgian Data Base Day (DBDBD 2011), Twente, NL S.14 (2011)
[DBDBD 2011]

2010

Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.1220 (2010)
[ICDM 2010] [Tutorial Website]
Wichterich M., Kranen P., Assent I., Seidl T.:
Efficient EMD-based Similarity Search in Medical Image Databases
Plant C., Böhm C. (eds.): Database Technology for Life Sciences and Medicine, World Scientific Publishing S.175-201 (2010)
[World Scientific Publishing]
Kranen P., Müller E., Assent I., Krieger R., Seidl T.:
Incremental Learning of Medical Data for Multi-Step Patient Health Classification
Plant C., Böhm C. (eds.): Database Technology for Life Sciences and Medicine, World Scientific Publishing S.321-344 (2010)
[World Scientific Publishing ]
Bifet A., Holmes G., Pfahringer B., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings, Volume 11: Workshop on Applications of Pattern Analysis S.44-50 (2010)
[www.pascal-network.org/wapa2010] [JMLR Proc. Vol. 11] [pdf]
Günnemann S., Färber I., Boden B., Seidl T.:
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.845-850 (2010)
[ICDM 2010] [Supplementary material]
Beecks C., Uysal M., Seidl T.:
Similarity Matrix Compression for Efficient Signature Quadratic Form Distance Computation
Proc. 3rd International Conference on Similarity Search and Applications (SISAP 2010), Istanbul, Turkey S.109-114 (2010)
[SISAP 2010]
Beecks C., Driessen P., Seidl T.:
Index Support for Content-Based Multimedia Exploration
Proc. 18th ACM International Conference on Multimedia (ACM-MM 2010), Firenze, Italy S.999-1002 (2010) to appear
[ACM Multimedia 2010]
Beecks C., Wiedenfeld S., Seidl T.:
Improving the Efficiency of Content-Based Multimedia Exploration
Proc. International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey S.3163 - 3166 (2010)
[ICPR 2010]
Beecks C., Uysal M., Seidl T.:
Signature Quadratic Form Distance
Proc. ACM International Conference on Image and Video Retrieval (CIVR 2010), Xi'an, China S.438-445 (2010)
[CIVR 2010]
Günnemann S., Kremer H., Seidl T.:
Subspace Clustering for Uncertain Data
Proc.  SIAM International Conference on Data Mining (SDM 2010), Columbus, Ohio, USA. S.385-396 (2010)
[SDM 2010]
Müller E., Schiffer M., Seidl T.:
Adaptive Outlierness for Subspace Outlier Ranking
Proc. 19th ACM Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada S.1629-1632 (2010)
[CIKM 2010]
Kranen P., Günnemann S., Fries S., Seidl T.:
MC-Tree: Improving Bayesian Anytime Classification
Proc. of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM 2010), Heidelberg, Germany, Springer LNCS S.252-269 (2010)
[SSDBM 2010] [DOI: 10.1007/978-3-642-13818-8_19]
Günnemann S., Seidl T.:
Subgraph Mining on Directed and Weighted Graphs
Proc. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), 21-24 June, 2010 - Hyderabad, India. Springer Lecture Notes in Artificial Intelligence (LNAI) S.133-146 (2010)
[PAKDD 2010]
Kranen P., Krieger R., Denker S., Seidl T.:
Bulk loading Hierarchical Mixture Models for Efficient Stream Classification
Proc. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India. Springer LNAI S.325-334 (2010)
[PAKDD 2010] [DOI: 10.1007/978-3-642-13672-6_32]
Assent I., Kremer H., Seidl T.:
Speeding up Complex Video Copy Detection Queries
Proc. of the 15th International Conference on Database Systems for Advanced Applications (DASFAA 2010), Tsukuba, Japan, Springer LNCS 5981 S.307-321 (2010)
[DASFAA 2010]
Müller E., Kranen P., Nett M., Reidl F., Seidl T.:
Air-Indexing on Error Prone Communication Channels
Proc. of the 15th International Conference on Database Systems for Advanced Applications (DASFAA 2010), Tsukuba, Japan, Springer LNCS 5981 S.505-519 (2010)
[DASFAA 2010]
Hassani M., Müller E., Spaus P., Faqolli A., Palpanas T., Seidl T.:
Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes
Proc. 4th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA S.87-96 (2010)
[SensorKDD 2010]
Färber I., Günnemann S., Kriegel H., Kröger P., Müller E., Schubert E., Seidl T., Zimek A.:
On Using Class-Labels in Evaluation of Clusterings
Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010)
[MultiClust 2010] [Full Text PDF] [Talk Slides]
Günnemann S., Färber I., Müller E., Seidl T.:
ASCLU: Alternative Subspace Clustering
Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010)
[MultiClust 2010] [Full Text PDF] [Talk Slides]
Assent I., Müller E., Günnemann S., Krieger R., Seidl T.:
Less is More: Non-Redundant Subspace Clustering
Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010)
[MultiClust 2010] [Full Text PDF] [Talk Slides]
Assent I., Kranen P., Baldauf C., Seidl T.:
Detecting Outliers on Arbitrary Data Streams using Anytime Approaches
International Workshop on Novel Data Stream Pattern Mining Techniques (StreamKDD 2010) in conjunction with 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA S.10-16 (2010)
[StreamKDD 2010] [online proceedings]
Kremer H., Günnemann S., Seidl T.:
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques
Proc. 2nd IEEE ICDM Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts (CLIMKD 2010) in conjunction with IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.96-97 (2010)
[ICDM 2010] [CLIMKD 2010]
Beecks C., Uysal M., Seidl T.:
A Comparative Study of Similarity Measures for Content-Based Multimedia Retrieval
Proc. IEEE International Conference on Multimedia & Expo (ICME 2010), Singapore S.1552-1557 (2010)
[ICME 2010]
Beecks C., Uysal M., Seidl T.:
Efficient k-Nearest Neighbor Queries with the Signature Quadratic Form Distance
Proc. 4th International Workshop on Ranking in Databases (DBRank 2010) in conjunction with IEEE 26th International Conference on Data Engineering (ICDE 2010), Long Beach, California, USA S.10 - 15 (2010)
[ICDE 2010 Workshops]
Bifet A., Holmes G., Pfahringer B., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Invited presentation at the International Workshop on Handling Concept Drift in Adaptive Information Systems in conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). S.3-16 (2010)
Hassani M., Seidl T.:
Network Intrusion Detection using a Secure Ranking of Hidden Outliers
Proceedings of the 15th Syrian Computer Society Meeting on Computer Network Security 27-28 October, Aleppo - Syria. Paper [PDF] (2010)
Günnemann S., Kremer H., Färber I., Seidl T.:
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.1387-1390 (2010) (Demo)
[ICDM 2010]
Kranen P., Kremer H., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.1400-1403 (2010) (Demo)
[ICDM 2010]
Günnemann S., Färber I., Kremer H., Seidl T.:
CoDA: Interactive Cluster Based Concept Discovery
Proceedings of the VLDB Endowment (PVLDB) 3(2): 1633-1636 (2010) S.1633-1636 (2010) (Demo)
[VLDB 2010]
Kranen P., Kremer H., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
Benchmarking Stream Clustering Algorithms within the MOA Framework
16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010) 2010 KDD - MOA (demo).pdf(Demo)
[KDD 2010]
Müller E., Schiffer M., Gerwert P., Hannen M., Jansen T., Seidl T.:
SOREX: Subspace Outlier Ranking Exploration Toolkit
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), Barcelona, Spain, Springer, LNAI 6323 S.607-610 (2010) (Demo)
[ECML PKDD 2010]
Assent I., Kremer H., Günnemann S., Seidl T.:
Pattern Detector: Fast Detection of Suspicious Stream Patterns for Immediate Reaction
Proc. International Conference on Extending Database Technology (EDBT/ICDT 2010), Lausanne, Switzerland. S.709-712 (2010) (Demo)
[EDBT/ICDT 2010]
Beecks C., Stadelmann T., Freisleben B., Seidl T.:
Visual Speaker Model Exploration
Proc. 2010 IEEE International Conference on Multimedia & Expo (ICME 2010), Singapore S.727-728 (2010)
[ICME 2010 Demos]

2009

Mamoulis N., Seidl T., Pedersen T. B., Torp K., Assent I.:
Advances in Spatial and Temporal Databases - Proceedings of SSTD 2009
Proceedings of the 11th International Symposium on Spatial and Temporal Databases (SSTD), Aalborg, Denmark, July 8-10, 2009. Springer Verlag, Lecture Notes in Computer Sciences, Vol. 5644. (2009)
[SSTD 2009] [Springer LNCS 5644]
Seidl T.:
Nearest Neighbor Classification
Liu L., Özsu M. T. (eds.): Encyclopedia of Database Systems. Springer. S.1885-1890 (2009)
[print+eReference] [print only]
Assent I., Krieger R., Welter P., Herbers J., Seidl T.:
Data Mining For Robust Flight Scheduling
In: Longbing Cao, Philip S. Yu, Chengqi Zhang, Huaifeng Zhang (eds.): Data Mining for Business Applications. Springer 2009. S.267-282 (2009)
[Springer Link]
Kranen P., Seidl T.:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
Data Mining and Knowledge Discovery Journal (Springer DMKD), Special Issue on Selected Papers from ECML PKDD 2009, Vol. 19, No. 2, S.245-260 (2009) [DOI 10.1007/s10618-009-0139-0]
[DMKD Journal - full text]
Assent I., Wichterich M., Krieger R., Kremer H., Seidl T.:
Anticipatory DTW for Efficient Similarity Search in Time Series Databases
Proc. 35th International Conference on Very Large Data Bases (VLDB 2009), Lyon, France, PVLDB Journal, Vol. 2, No. 1, S.826-837 (2009) (Core Database Technology track, acceptance rate 16.7%)
[VLDB 2009] [PDF] [ACM Digital Library]
Müller E., Günnemann S., Assent I., Seidl T.:
Evaluating Clustering in Subspace Projections of High Dimensional Data
Proc. 35th International Conference on Very Large Data Bases (VLDB 2009), Lyon, France, PVLDB Journal, Vol. 2, No. 1, S.1270-1281 (2009) (Experiments and Analyses track, acceptance rate 23.1%)
[VLDB 2009] [Full Text PDF] [Supplementary material]
Kranen P., Assent I., Baldauf C., Seidl T.:
Self-Adaptive Anytime Stream Clustering
Proc. IEEE International Conference on Data Mining (ICDM 2009), Miami, USA S.249-258 (2009) (full paper acceptance rate 8.9%)
[ICDM 2009] [DOI: 10.1109/ICDM.2009.47]
Müller E., Assent I., Günnemann S., Krieger R., Seidl T.:
Relevant Subspace Clustering: Mining the Most Interesting Non-Redundant Concepts in High Dimensional Data
Proc. IEEE International Conference on Data Mining (ICDM 2009), Miami, USA S.377-386 (2009) (full paper acceptance rate 8.9%)
[ICDM 2009] [Supplementary material]
Kranen P., Seidl T.:
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slowenia. S.31 (2009) The Paper has additionally been chosen for publication in the Data Mining and Knowledge Discovery Journal, ECML PKDD Special Issue (acceptance rate 3.3%).
[ECML PKDD 2009]
Beecks C., Uysal M., Seidl T.:
Signature Quadratic Form Distances for Content-Based Similarity
Proc. 17th ACM International Conference on Multimedia (ACM-MM 2009), Beijing, China S.697-700 (2009)
[ACM Multimedia 2009]
Beecks C., Wiedenfeld S., Seidl T.:
Cascading Components for Efficient Querying of Similarity-Based Visualizations
IEEE Information Visualization Conference (IEEE InfoVis 2009) (Poster presentation) (2009)
[IEEE VisWeek 2009]
Müller E., Assent I., Krieger R., Günnemann S., Seidl T.:
DensEst: Density Estimation for Data Mining in High Dimensional Spaces
Proc. SIAM International Conference on Data Mining (SDM 2009), Sparks, Nevada, USA. S.173-184 (2009) (full paper acceptance rate 15.6%)
[SDM 2009] [PDF]
Günnemann S., Müller E., Färber I., Seidl T.:
Detection of Orthogonal Concepts in Subspaces of High Dimensional Data
Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China S.1317-1326 (2009) (full paper acceptance rate 14.5%)
[CIKM 2009] [DOI: 10.1145/1645953.1646120]
Wichterich M., Beecks C., Sundermeyer M., Seidl T.:
Exploring Multimedia Databases via Optimization-Based Relevance Feedback and the Earth Mover's Distance
Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China. S.1621-1624 (2009)
[CIKM 2009] [DOI: 10.1145/1645953.1646187]
Seidl T., Assent I., Kranen P., Krieger R., Herrmann J.:
Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams
Proc. 12th International Conference on Extending Database Technology (EDBT/ICDT 2009), Saint-Petersburg, Russia. S.311-322 (2009)
[EDBT/ICDT 2009] [DOI: 10.1145/1516360.1516397]
Ahmadi B., Hadjieleftheriou M., Seidl T., Srivastava D., Venkatasubramanian S.:
Type-Based Categorization of Relational Attributes
Proc. 12th International Conference on Extending Database Technology (EDBT/ICDT 2009), Saint-Petersburg, Russia. S.84-95 (2009)
[EDBT/ICDT 2009]
Müller E., Assent I., Seidl T.:
HSM: Heterogeneous Subspace Mining in High Dimensional Data
Proc. 21st International Conference on Scientific and Statistical Database Management (SSDBM 2009), New Orleans, Louisiana, USA S.497-516 (2009)
[SSDBM 2009]
Wang L., Oertel N., Müller E., Seidl T.:
Counterfeit Detection by Extracting Rules from Product Traces
Proc. 12th IASTED International Conference on Intelligent Systems and Control (ISC 2009), Cambridge, USA (2009)
[IASTED ISC 2009]
Assent I., Günnemann S., Kremer H., Seidl T.:
High-dimensional Indexing for Multimedia Features
Proc. 13th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2009), Münster, Germany. Lecture Notes in Informatics (LNI P-144). S.187-206 (2009)
[BTW 2009]
Beecks C., Wichterich M., Seidl T.:
Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken
Proc. 13th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2009), Münster, Germany. Lecture Notes in Informatics (LNI P-144). S.207-216 (2009)
[BTW 2009]
Hassani M., Müller E., Seidl T.:
EDISKCO: Energy Efficient Distributed In-Sensor-Network K-center Clustering with Outliers
Proc. 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2009) in conjunction with 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France S.39-48 (2009)
[SensorKDD 2009]
Wichterich M., Beecks C., Sundermeyer M., Seidl T.:
Relevance Feedback for the Earth Mover's Distance
7th International Workshop on Adaptive Multimedia Retrieval (AMR 2009), Madrid, Spain. S.72–86 (2009)
[AMR 2009] [Springer LNCS 6535] [DOI: 10.1007/978-3-642-18449-9_7]
Beecks C., Seidl T.:
Visual Exploration of Large Multimedia Databases
Data Management & Visual Analytics (VisMaster Workshop) in conjunction with EuroVis 2009, Berlin, Germany. (2009)
[VisMaster @ EuroVis 2009] [VisMaster 2009]
Beecks C., Seidl T.:
Efficient Content-Based Information Retrieval: A New Similarity Measure for Multimedia Data
Symposium on Future Directions in Information Access (FDIA 2009) in conjunction with 7th European Summer School in Information Retrieval, Padua, Italy. (2009)
[FDIA @ ESSIR 2009]
Müller E., Assent I., Günnemann S., Jansen T., Seidl T.:
OpenSubspace: An Open Source Framework for Evaluation and Exploration of Subspace Clustering Algorithms in WEKA
Proc. 1st Open Source in Data Mining Workshop (OSDM 2009) in conjunction with 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand S.2-13 (2009)
[OpenSubspace Project] [OSDM 2009]
Beecks C., Seidl T.:
Distance-Based Similarity Search in Multimedia Databases
Abstract in Dutch-Belgian Data Base Day (DBDBD 2009), Delft, NL (2009)
[DBDBD 2009]
Schiffer M., Müller E., Seidl T.:
SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces
Datenbank-Spektrum Vol. 9 Issue 29 S.53-55 (2009) (BTW-Studierendenprogramm)
[DB Spektrum]

2008

Seidl T., Enderle J.:
Binäre Suche
In: Vöcking B., Alt H., Dietzfelbinger M., Reischuk R., Scheideler C., Vollmer H., Wagner D. (Eds.): Taschenbuch der Algorithmen. Springer. S.7-14 (2008)
[Publisher]
Assent I., Krieger R., Glavic B., Seidl T.:
Clustering Multidimensional Sequences in Spatial and Temporal Databases
In: International Journal on Knowledge and Information Systems (KAIS) Vol. 16, Issue 1 S.29-51 (2008)
[KAIS] [DOI: 10.1007/s10115-007-0121-3]
Wichterich M., Assent I., Kranen P., Seidl T.:
Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), Vancouver, BC, Canada. S.199-212 (2008) (full paper acceptance rate 17.9%)
[SIGMOD 2008] [DOI: 10.1145/1376616.1376639]
Assent I., Wichterich M., Meisen T., Seidl T.:
Efficient Similarity Search Using the Earth Mover's Distance for Large Multimedia Databases
Proc. IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico. S.307-316 (2008) (full paper acceptance rate 19.3%)
[ICDE 2008] [DOI: 10.1109/ICDE.2008.4497439]
Assent I., Krieger R., Müller E., Seidl T.:
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy
Proc. IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy S.719-724 (2008) (acceptance rate 20%)
[ICDM 2008]
Assent I., Krieger R., Müller E., Seidl T.:
EDSC: Efficient Density-Based Subspace Clustering
Proc. ACM 17th Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, USA S.1093-1102 (2008) (full paper acceptance rate 17%)
[CIKM 2008]
Assent I., Krieger R., Afschari F., Seidl T.:
The TS-Tree: Efficient Time Series Search and Retrieval
Proc. 11th International Conference on Extending Data Base Technology (EDBT 2008), Nantes, France. S.252-263 (2008)
[EDBT 2008] [DOI: 10.1145/1353343.1353376]
Assent I., Krieger R., Welter P., Herbers J., Seidl T.:
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters
Proc. 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Springer LNCS/LNAI, Osaka, Japan S.40-52 (2008)
[PAKDD 2008] [DOI: 10.1007/978-3-540-68125-0_6]
Brochhaus C., Seidl T.:
IndeGSRI : Efficient View-dependent Ranking in CFD Post-processing Queries with RDBMS
Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China S.598-604 (2008)
[SSDBM 2008] [Springer LNCS 5069]
Meisen P., Seidl T., Henning K.:
A Data-Mining Technique for the Planning and Organization of Truck Platoons
Jacob B. et al. (eds.): International Conference on Heavy Vehicles (HVParis 2008), Heavy Vehicle Transport Technology. ISTE & Wiley. S.389-402 (2008)
[HVParis 2008]
Müller E., Assent I., Krieger R., Jansen T., Seidl T.:
Morpheus: Interactive Exploration of Subspace Clustering
Proc. 14th ACM SIGKDD International Conference on Knowledge Discovery in Databases (KDD 2008), Las Vegas, USA S.1089-1092 (2008) (Demo)
[KDD 2008]
Wichterich M., Beecks C., Seidl T.:
Ranking Multimedia Databases via Relevance Feedback with History and Foresight Support
Proc. 2nd International Workshop on Ranking in Databases (DBRank 2008) in conjunction with IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico S.596-599 (2008)
[ICDE 2008 Workshops] [DOI: 10.1109/ICDEW.2008.4498386]
Müller E., Assent I., Steinhausen U., Seidl T.:
OutRank: ranking outliers in high dimensional data
Proc. 2nd International Workshop on Ranking in Databases (DBRank 2008) in conjunction with IEEE 24th International Conference on Data Engineering (ICDE 2008), Cancun, Mexico S.600-603 (2008)
[ICDE 2008 Workshops] [DOI: 10.1109/ICDEW.2008.4498387]
Assent I., Müller E., Krieger R., Jansen T., Seidl T.:
Pleiades: Subspace Clustering and Evaluation
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, Springer LNCS 5212. S.666-671 (2008) (Demo)
[ECML PKKD 2008] [Springer LNCS 5212]
Kranen P., Kensche D., Kim S., Zimmermann N., Müller E., Quix C., Li X., Gries T., Seidl T., Jarke M., Leonhardt S.:
Mobile Mining and Information Management in HealthNet Scenarios
Proceedings of the 9th IEEE MDM International Conference on Mobile Data Management (MDM 2008), Beijing, China S.215-216 (2008) (Demo)
[MDM 2008]
Müller E., Kranen P., Nett M., Reidl F., Seidl T.:
A General Framework for Data Dissemination Simulation for Real World Scenarios
Proceedings of the 14th ACM SIGMOBILE International Conference on Mobile Computing and Networking (MobiCom 2008), San Francisco, USA (2008) (Demo)
[ACM MobiCom 2008]
Deserno T.M., Güld M.O., Plodowski B., Spitzer K., Wein B.B., Schubert H., Ney H., Seidl T.:
Extended query refinement for medical image retrieval
Journal of Digital Imaging 21(3): 280-289 (2008) - ISSN: 0897-1889 (Print), 1618-727X (Online). JDI 2008 Best Paper Award .
[Article]
Ruau D., Kolarik C., Mevissen H.-T., Müller E., Assent I., Krieger R., Seidl T., Hofmann-Apitius M., Zenke M.:
Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation
BMC Bioinformatics 2008, 9(Suppl 10):O5 doi:10.1186/1471-2105-9-S10-O54th ISCB Student Council Symposium in conjunction with International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada (2008) (poster and oral presentation)
[ISCB 2008] [ISMB 2008]
Wichterich M., Beecks C., Seidl T.:
History and Foresight for Distance-Based Relevance Feedback in Multimedia Databases
Workshop on Future Directions in Multimedia Knowledge Management (MMKM 2008), Milton Keynes, United Kingdom (2008) (Poster presentation)
[MMKM 2008]
Seidl T., Müller E., Assent I., Steinhausen U.:
Outlier detection and ranking based on subspace clustering
Dagstuhl Seminar 08421 on Uncertainty Management in Information Systems. (2008)
[Dagstuhl seminar 08421] [paper at DROPS]

2007

Kemper A., Schöning H., Rose T., Jarke M., Seidl T., Quix C., Brochhaus C.:
Proc. Datenbanksysteme in Business, Technologie und Web (BTW 2007)
Tagungsband der 12. Fachtagung BTW des GI-Fachbereichs "Datenbanken und Informationssysteme", Aachen, Germany (2007)
[BTW 2007]
Assent I., Krieger R., Müller E., Seidl T.:
VISA: Visual Subspace Clustering Analysis
ACM SIGKDD Explorations Special Issue on Visual Analytics, Vol. 9, Issue 2 S.5-12 (2007)
[SIGKDD Explorations] [Full Text PDF]
Zaki M. J., Peters M., Assent I., Seidl T.:
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
Data & Knowledge Engineering (DKE) 60 (1) S.51-70 (2007)
[DKE] [Abstract]
Jarke M., Seidl T.:
Mobilkommunikation im Jahr 2015: Neue Anwendungen brauchen neue Technologien
RWTH Themen 1/2007: Exzellenzinitiative – Impulse für die Forschung S.22-24 (2007)
[RWTH Themen]
Assent I., Krieger R., Müller E., Seidl T.:
DUSC: Dimensionality Unbiased Subspace Clustering
Proc. IEEE International Conference on Data Mining (ICDM 2007), Omaha, Nebraska, USA S.409-414 (2007) (acceptance rate 19%)
[ICDM 2007]
Brochhaus C., Seidl T.:
Efficient Index Support for View-Dependent Queries on CFD Data
Papadias D., Zhang D., Kollios G. (eds.): Advances in Spatial and Temporal Databases. Proc. 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, MA, USA. Springer LNCS 4605 S.57-74 (2007)
[LNCS 4605]
Brochhaus C., Seidl T.:
IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing
Proc. 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria S.1354-1357 (2007) Demo
[VLDB 2007] [Full Text PDF]
Assent I., Krieger R., Seidl T.:
AttentionAttractor: efficient video stream similarity query processing in real time
Proc. IEEE 23rd International Conference on Data Engineering (ICDE 2007), Istanbul, Turkey (Demo) S.1509 - 1510 (2007)
[ICDE 2007] [DOI: 10.1109/ICDE.2007.369057]
Assent I., Krieger R., Müller E., Steffens A., Seidl T.:
Evolutionary Subspace Search in biologically-inspired Optimal Niches
Proc. Annual Symposium on Nature inspired Smart Information Systems (NiSIS 2007), St Julians, Malta (2007)
[http://www.nisis.risk-technologies.com/]
Assent I., Krieger R., Müller E., Seidl T.:
Removing Dimensionality Bias in Density-based Subspace Clustering
Abstract in Dutch-Belgian Data Base Day (DBDBD 2007), Eindhoven, NL (2007)
[DBDBD 2007]
Assent I., Krieger R., Müller E., Seidl T.:
Subspace outlier mining in large multimedia databases
In: M. Berthold, K. Morik, A. Siebes(eds.): Parallel Universes and Local Patterns, Dagstuhl Seminar 07181 (2007)
[Dagstuhl seminar homepage] [Dagstuhl DROPS Document]

2006

Brochhaus C., Wichterich M., Seidl T.:
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-based Nearest Neighbor Search
In Ioannidis Y. et al. (Eds.): Advances in Database Technology - Proc. 10th International Conference on Extending Data Base Technology (EDBT 2006), Munich, Germany. Springer LNCS 3896 S.204-221 (2006) (acceptance rate 16%)
[EDBT 2006] [LNCS 3896]
Assent I., Wenning A., Seidl T.:
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
Proc. IEEE International Conference on Data Engineering (ICDE 2006), Atlanta, Georgia, USA. S.11 (2006) (acceptance rate 19.5%)
[ICDE 2006] [DOI: 10.1109/ICDE.2006.25]
Assent I., Krieger R., Glavic B., Seidl T.:
Spatial Multidimensional Sequence Clustering
Proc. 1st International Workshop on Spatial and Spatio-temporal Data Mining (SSTDM 2006)In conjunction with ICDM 2006, Hong Kong S.343-348 (2006)
[SSTDM 2006]
Jovic M., Hatakeyama Y., Dong F., Hirota K., Seidl T., Avdagic Z.:
Fuzzy Multi-Resolution Image Similarity Modeling applied to Image Retrieval
Joint 3rd International Conference on Soft Computing and Intelligent Systems and (SCIS 2006), 7th International Symposium on advanced Intelligent Systems (ISIS 2006), Tokyo Institute of Technology, Tokyo, Japan (2006)
[SCIS & ISIS 2006 Call for Papers]
Assent I., Krieger R., Steffens A., Seidl T.:
A Novel Biology inspired Model for Evolutionary Subspace Clustering
Proc. Annual Symposium on Nature inspired Smart Information Systems (NiSIS 2006), Puerto de la Cruz, Tenerife (2006)
[NiSIS Project]
Thies C., Schmitt Borreda M., Lehmann T., Seidl T.:
A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images
Int. Conference on Image Processing, part of theSPIE Symposium on Medical Imaging (MI 2006), 6144 S.559-568 (2006)
[SPIE MI 2006] [pdf]
Kriegel H., Kröger P., Pfeifle M., Brecheisen S., Pötke M., Schubert M., Seidl T.:
Similarity Search for Voxelized CAD Objects
In: Zongmin Ma (ed.): Database Modeling for Industrial Data Management: Emerging Technologies and Applications. Idea Group Inc. S.115-147 (2006) ISBN: 1-59140-684-6 (Hard Cover), 1-59140-685-4 (Soft Cover)
[publisher]
Assent I., Bartusseck S., Glavic B., Krieger R., Nacken H., Seidl T., Sewilam H.:
Clustering für Fließgewässer - Data Mining zur Entscheidungsunterstützung in der Hydrologie
In RWTH Aachen: Informatik und Informationstechnik, RWTH Themen 2/2006. S.66-69 (2006)
[RWTH Themen]
Assent I., Seidl T.:
Efficient Multi-Step Query Processing for EMD-based Similarity
T. Crawford, R. Veltkamp (eds.): Content-Based Retrieval. Dagstuhl Seminar 06171 (2006)
[Dagstuhl Seminar Proceedings] [Full Text PDF]
Seidl T., Schönauer S., Kailing K.:
Data Mining and Efficient Similarity Retrieval of Hierarchical Structures from Large Databases
J.-R. Sack, M. Sester, M. Worboys, P. van Oosterom (eds.): Spatial Data - mining, processing and communicating. Dagstuhl Seminar 06101 (2006)
[seminar homepage]

2005

Enderle J., Schneider N., Seidl T.:
Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases
Proc. 31st Internat. Conf. on Very Large Data Bases (VLDB 2005), Trondheim, Norway S.385-396 (2005) (acceptance rate 16.5%)
[VLDB 2005]
Zaki M., Peters M., Assent I., Seidl T.:
CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets
Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2005), Chicago, IL, USA S.736 - 742 (2005) (acceptance rate 22%)
[KDD 2005]
Brochhaus C., Enderle J., Schlosser A., Seidl T., Stolze K.:
Efficient Interval Management Using Object-Relational Database Servers
In Informatik - Forschung und Entwicklung (IFE) 20(3) S.121-137 (2005) ISSN: 0178-3564 (Paper), 0949-2925 (Online); DOI: 10.1007/s00450-005-0207-7
[IFE journal link] [article]
Brochhaus C., Enderle J., Schlosser A., Seidl T., Stolze K.:
Integrating the Relational Interval Tree into IBM’s DB2 Universal Database Server
Proc. 11th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2005), Karlsruhe, Germany. GI-Edition Lecture Notes in Informatics 65 S.67-86 (2005) (acceptance rate 25%)
[BTW 2005]
Kriegel H.-P., Pfeifle M., Pötke M., Seidl T., Enderle J.:
Object-Relational Spatial Indexing
In: Manolopoulos Y., Papadopoulos A., Vassilakopoulos M. (eds.): Spatial Databases: Technologies, Techniques and Trends. Idea Group Inc. S.49-80 (2005)
[Idea Group]
Seidl T., Krieger R., Assent I., Glavic B., Nacken H.:
Data Mining zur Entscheidungsunterstützung in der Hydrologie
In: Nacken H., Bartusseck S., Sewilam H. (Eds.): Entscheidungsunterstützung in der Wasserwirtschaft - Von der Theorie zum Anwendungsfall - Beiträge zum Tag der Hydrologie 2005, Aachen. Forum für Hydrologie und Wasserbewirtschaftung, Heft 10.05 S.137-145 (2005)
[Hydrology]
Lehmann T. M., Beier D., Thies C., Seidl T.:
Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme
Proc. SPIE Symposium on Medical Imaging (MI 2005): Image Processing, Vol. 5747(56) S.546-555 (2005)
[Conference homepage] [program]
Jovic M., Seidl T., Hatakeyama Y., Hirota K.:
Multi Agent Based Image Retrieval System Applied to Decision Making
4th Internat. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS 2005), 2nd Symposium on Creation of Agent-Based Social Systems Sciences (ABSSS), Tokyo Institute of Technology, Tokyo, Japan S.101-110 (2005) PAAA AESCS
[Workshop program]
Brochhaus C., Seidl T.:
Formhistogramme für 3D-Objekte - Visualisierung der geometrischen Ähnlichkeiten von Molekülen
Beyer A., Lohoff M. (Eds.): Bild und Erkenntnis. Formen und Funktion des Bildes in Wissenschaft und Technik (2005)
[Verlag]

2004

Enderle J., Hampel M., Seidl T.:
Joining Interval Data in Relational Databases
Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2004), Paris, France S.683-694 (2004) (acceptance rate 16%)
[SIGMOD 2004]
Kailing K., Kriegel H.-P., Schönauer S., Seidl T.:
Efficient Similarity Search in Large Databases of Tree Structured Objects
(Poster) Proc. IEEE Int. Conf. on Data Engineering (ICDE 2004). S.835 (2004) (acceptance rate 19%)
[ICDE 2004]
Kailing K., Kriegel H.-P., Schönauer S., Seidl T.:
Efficient Similarity Search for Hierarchical Data in Large Databases
Proc. 9th Int. Conf. on Extending Data Base Technology (EDBT 2004), Heraklion - Crete, Greece. Springer LNCS 2992 S.676-693 (2004) (acceptance rate 14%)
[conference homepage]
Jovic M., Seidl T., Stejic Z., Assent I.:
Image Clustering and Retrieval Combining fixed/adaptive-binned Histograms and various Distance Functions
2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2004) S.301-306 (2004)
[CIS 2004]
Seidl T.:
Nearest Neighbor Search on Multimedia Indexing Structures
Invited Tutorial on 1st Int. Workshop on Computer Vision meets Databases (CVDB 2004) in cooperation with ACM SIGMOD. S.2 (2004)
[workshop homepage]
Lehmann T., Plodowski B., Spitzer K., Wein B., Ney H., Seidl T.:
Extended Query Refinement for Content-Based Access to Large Medical Image Databases
Proc. SPIE Symposium on Medical Imaging (MI 2004): PACS and Imaging Informatics, Vol. 5371(15) S.90-98 (2004)
[Conference homepage] [program]
Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
A Cost Model for Spatial Intersection Queries on RI-Trees
Proc. 9th Int'l Conf. on Database Systems for Advanced Applications (DASFAA 2004), Jeju Island, Korea. Springer LNCS 2973 S.331-338 (2004) (acceptance rate 29%)
[DASFAA 2004] [Springer Link]

2003

Kriegel H.-P., Kröger P., Mashael Z., Pfeifle M., Pötke M., Seidl T.:
Effective Similarity Search on Voxelized CAD Objects
Proc. 8th Int. Conf. on Database Systems for Advanced Applications (DASFAA 2003), Kyoto, Japan. IEEE Computer Society S.27-36 (2003)
[IEEE electronic edition] [conference homepage]
Kriegel H.-P., Pfeifle M., Pötke M., Renz M., Seidl T.:
Spatial Data Management for Virtual Product Development
In: Klein R., Six H.-W., Wegner L. (Eds.): Computer Science in Perspective - Essays Dedicated to Thomas Ottmann. Springer LNCS 2598 S.216-230 (2003)
[Springer Link]
Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
Spatial Query Processing for High Resolutions
Proc. 8th Int. Conf. on Database Systems for Advanced Applications (DASFAA 2003), Kyoto, Japan. IEEE Computer Society S.17-26 (2003)
[IEEE electronic edition] [conference homepage]
Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
The Paradigm of Relational Indexing: A Survey
Proc. 10th GI-Conf. on Database Systems for Business, Technology, and the Web (BTW 2003), Leipzig, Germany. GI-Edition Lecture Notes in Informatics, P-26 S.285-304 (2003)
[conference homepage]
Seidl T.:
Database Support for Multimedia Retrieval
In: Klein R., Clausen M. (eds.): Perspective Seminar Multimedia Retrieval. Dagstuhl Seminar 03112 (2003)
[Seminar-Homepage]

2002

Böhm C., Kriegel H.-P., Seidl T.:
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Journal of Intelligent Information Systems (JIIS), Kluwer, 19(2) S.207-230 (2002)
[SpringerLink]
Kriegel H.-P., Pfeifle M., Pötke M., Seidl T.:
A Cost Model for Interval Intersection Queries on RI-Trees
Proc. 14th Int. Conf. on Scientific and Statistical Database Management (SSDBM 2002), Edinburgh, UK. IEEE Computer Society S.131-141 (2002)
[IEEE electronic edition] [conference homepage]
Seidl T.:
Database Support for Content-Based Retrieval
In: Malik J., Kriegel H.-P., Shapiro L., Veltkamp R. (eds.): Content-Based Image and Video Retrieval. Dagstuhl Seminar (2002)
[Seminar-Homepage]

2001

Kriegel H.-P., Müller A., Pötke M., Seidl T.:
Spatial Data Management for Computer Aided Design
Demo, Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, California S.614 (2001)
[Conference-Homepage]
Kriegel H.-P., Müller A., Pötke M., Seidl T.:
DIVE: Database Integration for Virtual Engineering
Demo Proc. IEEE 17th Int. Conf. on Data Engineering (ICDE 2001), Heidelberg, Germany S.15-16 (2001)
Kriegel H.-P., Pötke M., Seidl T.:
Interval Sequences: An Object-Relational Approach to Manage Spatial and Temporal Data
Proc. 7th Int. Symposium on Spatial and Temporal Databases (SSTD 2001), Los Angeles, California. Springer LNCS 2121 S.481-501 (2001)
[Conference-Homepage]
Kriegel H.-P., Pötke M., Seidl T.:
Object-Relational Indexing for General Interval Relationships
Proc. 7th Int. Symposium on Spatial and Temporal Databases (SSTD 2001), Los Angeles, California, LNCS 2121 S.522-542 (2001)
[Conference-Homepage]
Böhm C., Kriegel H.-P., Seidl T.:
Adaptable Similarity Search Using Vector Quantization
Proc. Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK 2001), Munich, Germany. Springer LNCS 2114 S.317-327 (2001)
Seidl T., Kriegel H.-P.:
Adaptable Similarity Search in Large Image Databases
In: Veltkamp R., Burkhardt H., Kriegel H.-P. (eds.): State-of-the-Art in Content-Based Image and Video Retrieval. Kluwer Academic Publishers S.297-317 (2001)
Seidl T.:
Content-Based Retrieval in Multimedia Databases
Habilitationsschrift (postdoctoral thesis), Faculty of Mathematics and Computer Science, University of Munich (2001)

2000

Berchtold S., Keim D. A., Kriegel H.-P., Seidl T.:
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Spaces
IEEE Transactions on Knowledge and Data Engineering (TKDE) 12(1) S.45-57 (2000)
[Journal-Homepage]
Kriegel H.-P., Pötke M., Seidl T.:
Managing Intervals Efficiently in Object-Relational Databases
Proc. 26th Int. Conf. on Very Large Data Bases (VLDB 2000), Cairo, Egypt S.407-418 (2000)
[Demo RI-Tree]
Kriegel H.-P., Pötke M., Seidl T.:
Relational Interval Tree
Patent Application No. 00112031.0 (EPO) S.67-86 (2000)
Pötke M., Seidl T.:
Spatial Queries on Relational Interval Trees
Patent Application No. 00116887.1 (EPO) (2000)

1999

Ankerst M., Kastenmüller G., Kriegel H.-P., Seidl T.:
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
Proc. 6th Int. Symposium on Spatial Databases (SSD 1999), Hong Kong, China, LNCS 1651 S.207-226 (1999)
Ankerst M., Kastenmüller G., Kriegel H.-P., Seidl T.:
Nearest Neighbor Classification in 3D Protein Databases
Proc. 7th Int. Conf. on Intelligent Systems for Molecular Biology (ISMB 1999), Heidelberg, Germany. AAAI Press S.34-43 (1999)
Backofen R., Bry F., Clote P., Kriegel H.-P., Seidl T., Schulz K.::
Bioinformatik -- Aktuelles Schlagwort
Informatik Spektrum, Springer, 22(5) S.376-378 (1999)
[Gesellschaft für Informatik E.V.]
Seidl T., Kriegel H.-P.:
Adaptable Similarity Search in Large Databases
In: Burkhardt H., Kriegel H.-P., Veltkamp R. (eds.): Content-Based Image and Video Retrieval. Dagstuhl Seminar Report 261 S.5 (1999)
[Seminar-Homepage]
Seidl T., Kriegel H.-P.:
Mining Protein Databases
Proc. Tag der Informatik Bioinformatik (TdI), Institute for Computer Science, University of Munich (1999)

1998

Ankerst M., Kriegel H.-P., Seidl T.:
A Multistep Approach for Shape Similarity Search in Image Databases
IEEE Transactions on Knowledge and Data Engineering (TKDE) 10(6) S.996-1004 (1998)
[Journal-Homepage]
Seidl T., Kriegel H.-P.:
Optimal Multi-Step k-Nearest Neighbor Search
Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 1998), Seattle, Washington S.154-165 (1998)
[Download@ACM] [Statistics@ACM]
Ankerst M., Braunmüller B., Kriegel H.-P., Seidl T.:
Improving Adaptable Similarity Query Processing by Using Approximations
Proc. 24th Int. Conf. on Very Large Data Bases (VLDB 1998), New York, USA S.206-217 (1998)
Berchtold S., Ertl B., Keim D. A., Kriegel H.-P., Seidl T.:
Fast Nearest Neighbor Search in High-Dimensional Spaces
Proc. IEEE 14th Int. Conf. on Data Engineering (ICDE 1998), Orlando, Florida S.209-218 (1998)
Kastenmüller G., Kriegel H.-P., Seidl T.:
Similarity Search in 3D Protein Databases
Proc. German Conf. on Bioinformatics (GCB 1998), Cologne, Germany (1998)
Kriegel H.-P., Seidl T.:
Approximation-Based Similarity Search for 3-D Surface Segments
Int. Journal on Advances of Computer Science for Geographic Information Systems (GeoInformatica) 2(2) S.113-147 (1998)
[Journal-Homepage]
Seidl T.:
Similarity Search in Spatial Databases
In: Günther O., Sellis T., Theodoulidis B. (eds.): Integrating Spatial and Temporal Databases. Dagstuhl Seminar Report 228, 27 (1998)
[Seminar-Homepage]

1997

Seidl T., Kriegel H.-P.:
Efficient User-Adaptable Similarity Search in Large Multimedia Databases
Proc. 23rd Int. Conf. on Very Large Data Bases (VLDB 1997), Athens, Greece S.506-515 (1997)
Kriegel H.-P., Schmidt T., Seidl T.:
3D Similarity Search by Shape Approximation
Proc. 5th Int. Symposium on Large Spatial Databases (SSD 1997), Berlin, Germany, LNCS 1262 S.11-28 (1997)
Kriegel H.-P., Schmidt T., Seidl T.:
Biomolekulare Wechselwirkungen von Proteinen -- Datenbankunterstützung für das Proteindocking
Final Report, BMBF joint project BIOWEPRO (1997)
Seidl T.:
Adaptable Similarity Search in 3-D Spatial Database Systems
Dissertation (Ph.D. thesis), Faculty of Mathematics and Computer Science, University of Munich. Herbert Utz Verlag, Munich (1997)

1996

Kriegel H.-P., Schmidt T., Seidl T.:
Können Proteine im Computer docken?
In: Einsichten, Ludwig-Maximilians-Universität München, No.2/96 S.26-29 (1996)

1995

Seidl T., Kriegel H.-P.:
A 3D Molecular Surface Representation Supporting Neighborhood Queries
Proc. 4th Int. Symposium on Large Spatial Databases (SSD 1995), Portland, Maine, USA, LNCS 951 S.240-258 (1995)
Seidl T., Kriegel H.-P.:
Solvent Accessible Surface Representation in a Database System for Protein Docking
Proc. 3rd Int. Conf. on Intelligent Systems for Molecular Biology (ISMB 1995), Cambridge, UK. AAAI Press S.350-358 (1995)
Ester M., Kriegel H.-P., Seidl T., Xu X.::
Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank
Proc. 6th German Conf. on Database Systems Datenbanken in Büro, Technik und Wissenschaft (BTW 1995), Dresden, Germany. Springer Series Informatik Aktuell S.373-382 (1995)
Kriegel H.-P., Schmidt T., Seidl T.:
Moleküloberflächen in einer objektorientierten Proteindatenbank
Proc. German Conf. on Bioinformatics (GCB 1995), Braunschweig, Germany (1995)
Schomburg D., Jakob U., Meyer M., Wilson P., Sagerer G., Ackermann F., G. Herrmann, Posch S., Soumpasis D. M., Grimm G., Ihmels B., Strahm M., Kriegel H.-P., Seidl T., Schmidt T., Ester M., Xu X.::
BIOWEPRO -- Wechselwirkungen von Proteinen
Proc. BMBF Statusseminar Molekulare Bioinformatik, Braunschweig, Germany S.125-153 (1995)
[Project site]
Seidl T.:
A Database System for Protein Docking
In: Gusfield D., Lengauer T., Sander C. (eds.): Molecular Bioinformatics. Dagstuhl Seminar Report 120 S.21-22 (1995)

1994

Keim D. A., Kriegel H.-P., Seidl T.:
Supporting Data Mining of Large Databases by Visual Feedback Queries
Proc. IEEE 10th Int. Conf. on Data Engineering (ICDE 1994), Houston, Texas S.302-313 (1994)
Aldinger K., Ester M., Förstner G., Kriegel H.-P., Seidl T.:
Datenbankunterstützung für das Protein-Protein-Docking: ein effizienter und robuster Feature-Index
Proc. German Conf. on Bioinformatics (GCB 1994), Jena, Germany S.41-52 (1994)

1993

Keim D. A., Kriegel H.-P., Seidl T.:
Visual Feedback in Querying Large Databases
Proc. IEEE Int. Conf. on Visualization 1993, San Jose, California S.158-165 (1993)