Publications

30 results

2010

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 P.321-344 (2010)
[World Scientific Publishing ]
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]
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]

2009

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. P.267-282 (2009)
[Springer Link]
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, P.826-837 (2009) (Core Database Technology track, acceptance rate 16.7%)
[VLDB 2009] [PDF] [ACM Digital Library]
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]
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]
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]

2008

Krieger R.:
Efficient density-based methods for knowledge discovery in databases
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University. (2008) Tag der mündlichen Prüfung: 09.07.2008
[RWTH Bibliothek]
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 P.29-51 (2008)
[KAIS] [DOI: 10.1007/s10115-007-0121-3]
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 P.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 P.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. P.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 P.40-52 (2008)
[PAKDD 2008] [DOI: 10.1007/978-3-540-68125-0_6]
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]
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]

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]
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 P.409-414 (2007) (acceptance rate 19%)
[ICDM 2007]
Krieger R.:
Nature inspired local pattern detection: new approaches to open data mining questions
Proc. Workshop on Nature-inspired Methods for Local Pattern Detection (NiLOP 2007) in conjunction with NiSIS 2007, St. Julians, Malta (2007)
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) P.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

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 P.343-348 (2006)
[SSTDM 2006]
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]
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. P.66-69 (2006)
[RWTH Themen]

2005

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 P.137-145 (2005)
[Hydrology]

2002

A. Kuckelberg, Krieger R.:
Efficient Structure Oriented Storage of XML Documents Using ORDBMS
Proc. of the VLDB 2002 Workshop EEXTT and CAiSE 2002 Workshop DTWeb on Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web-Revised Papers (EEXTT 2002), Hong Kong, China. Springer LNCS 2590 P.131-143 (2002)
[Conference-Homepage]