Publications

30 results

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 P.2692-2694 (2012) (Demo)

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 P.249-272 (2011) DOI 10.1007/s10115-010-0342-8
[KAIS Journal - full text]

2010

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 P.44-50 (2010)
[www.pascal-network.org/wapa2010] [JMLR Proc. Vol. 11] [pdf]
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 P.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 P.252-269 (2010)
[SSDBM 2010] [DOI: 10.1007/978-3-642-13818-8_19]
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 P.325-334 (2010)
[PAKDD 2010] [DOI: 10.1007/978-3-642-13672-6_32]
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 P.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 P.87-96 (2010)
[SensorKDD 2010]
Müller E.:
Mining Subspace Clusters: Enhanced Models, Efficient Algorithms and an Objective Evaluation Study
PhD Workshop of the 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore (2010)
[VLDB 2010] [Full Text PDF]
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]
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). P.3-16 (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 P.607-610 (2010) (Demo)
[ECML PKDD 2010]

2009

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]
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]
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]
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]

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 P.1089-1092 (2008) (Demo)
[KDD 2008]
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. P.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 P.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]

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 P.5-12 (2007)
[SIGKDD Explorations] [Full Text PDF]