33 Ergebnisse


Beecks C., Hassani M., Bela Brenger, Jennifer Hinnell, Daniel Schüller, Irene Mittelberg, Seidl T.:
Efficient Query Processing in 3D Motion Capture Gesture Databases
International Journal of Semantic Computing. S.5-26 (2016)


Hassani M., Kim Y., Seungjin C., Seidl T.:
Subspace Clustering of Data Streams: New Algorithms and Effective Evaluation Measures
Journal of Intelligent Information Systems - Volume 45, Issue 3 (JIIS).  S.319-335 (2015) [First online: 08 June 2014]
[Journal of Intelligent Information Systems]


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]
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)]
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]
Kruliš M., Skopal T., Lokoč J., Beecks C.:
Combining CPU and GPU Architectures for Fast Similarity Search
Distributed and Parallel Databases (DAPD), Vol. 30, Nr. 3-4 S.179-207 (2012)
[DAPD Journal]
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]


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]


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)
[] [JMLR Proc. Vol. 11] [pdf]
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., 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]
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]


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]
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 .


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]
Assent I., Seibert S.:
An upper bound for transforming self-verifying automata into deterministic ones
Theoretical Informatics and Applications 41(3) S.261-265 (2007)
[RAIRO: ITA] [issue]


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]
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)


Tom Georgoulias, Sarah J. Greenwald, Wichterich M.:
Futurama Pi-k: Math in the Year 3000
MAA Math Horizons 11(4) S.12-15 (2004)
[Math Horizons]


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)


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)


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.]


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)
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)