Publications

28 results

2014

Beecks C., Kirchhoff S., Seidl T.:
On the Stability of Signature-Based Distance Functions for Content-Based Image Retrieval
Proceedings of the 16th LWA Workshops: KDML, IR and FGWM (LWA 2014) P.226 (2014)
Uysal M., Beecks C., Seidl T.:
On Efficient Query Processing with the Earth Mover's Distance
Proc. of the 7th Workshop for Ph.D. Students (PIKM) at 23rd International Conference on Information and Knowledge Management (CIKM 2014), Shanghai, China. P.25-32 (2014)
[PIKM 2014]
Godin F., De Nies T., Beecks C., De Vocht L., De Neve W., Mannens E., Seidl T., Van de Walle R.:
The Normalized Freebase Distance
The Semantic Web: ESWC 2014 Satellite Events  P.218-221 (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]
Uysal M., Beecks C., Schmücking J., Seidl T.:
Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures
Proc. ACM 23rd International Conference on Information and Knowledge Management (CIKM 2014), Shanghai, China. P.979-988 (2014) (full paper acceptance rate 20.3% in database track, and 20.9% for the whole conference)
[CIKM 2014]
De Nies T., Beecks C., De Neve W., Seidl T., Mannens E., Van de Walle R.:
Towards Named-Entity-based Similarity Measures: Challenges and Opportunities
Proc. of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR) at 23rd International Conference on Information and Knowledge Management (CIKM 2014), Shanghai, China. P.9-11 (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]
Uysal M., Beecks C., Schmücking J., Seidl T.:
Efficient Query Processing with the Earth Mover’s Distance
Abstract in Dutch-Belgian Database Day (DBDBD 2014), Antwerp, Belgium (2014)
[DBDBD2014]
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]
Zimmer (née Ivanescu) A.:
Learning Comprehensible Models for Analysis and Prediction in Scientific Databases
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University (2014) Defence of the PhD thesis: 03.12.2013
[Apprimus-Verlag] [RWTH-Bibliothek]
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 P.2244-2251 (2014)
[Paper at IATED digital library]
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]
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 P.149-164 (2014)
[Supplementary Material] [PDF]
Boden B.:
Combined Clustering of Graph and Attribute Data
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University (2014) Tag der mündlichen Prüfung: 16.04.2014
[Apprimus-Verlag] [RWTH-Bibliothek]
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) P.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 P.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 P.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. P.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) P.441-453 (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]