Publications

19 results

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. P.1885-1890 (2009)
[print+eReference] [print only]
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, P.245-260 (2009) [DOI 10.1007/s10618-009-0139-0]
[DMKD Journal - full text]
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, P.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 P.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 P.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. P.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]
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. P.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 P.1317-1326 (2009) (full paper acceptance rate 14.5%)
[CIKM 2009] [DOI: 10.1145/1645953.1646120]
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. P.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. P.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 P.497-516 (2009)
[SSDBM 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 P.39-48 (2009)
[SensorKDD 2009]
Kranen P.:
Using Index Structures for Anytime Stream Mining
PhD Workshop of the International Conference on Very Large Data Bases (VLDB 2009), Lyon, France (2009) 2009 VLDB (PhD Workshop) - Anytime Stream Mining.pdf
[VLDB 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 P.2-13 (2009)
[OpenSubspace Project] [OSDM 2009]
Schiffer M., Müller E., Seidl T.:
SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces
Datenbank-Spektrum Vol. 9 Issue 29 P.53-55 (2009) (BTW-Studierendenprogramm)
[DB Spektrum]
Schiffer M.:
SubRank: Ranking local outliers in projections of high-dimensional spaces
Studierendenprogramm at the 13th GI-conference on Databases, Technology and Web (BTW 2009), Münster, Germany [pdf] (2009)
[BTW 2009 Studierendenprogramm]
Fries S.:
Bestimmung des optimalen Verzweigungsgrades hierarchischer Anytime-Klassifikatoren
Studierendenprogramm at the 13th GI-conference on Databases, Technology and Web (BTW 2009), Münster, Germany (2009) (ausgezeichnet als bester Beitrag im Studierendenprogramm der BTW 2009 )
[BTW 2009 Studierendenprogramm]
Färber I.:
Mining orthogonaler Konzepte in hochdimensionalen Datenbanken
GI Informatiktage 27./28. März 2009 in Bonn P.153-156 (2009)
[Informatiktage]