Publikationen

20 Ergebnisse

2011

Kranen P.:
Anytime Algorithms for Stream Data Mining
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University (2011) Tag der mündlichen Prüfung: 14.09.2011
[[RWTH Bibliothek]] [urn:nbn:de:hbz:82-opus-38501]
Günnemann S., Müller E., Raubach S., Seidl T.:
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values
Proc. IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada (2011)
[ICDM 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 S.249-272 (2011) DOI 10.1007/s10115-010-0342-8
[KAIS Journal - full text]
Assam R., Seidl T.:
Preserving Privacy of Moving Objects Spatio-Temporal Data Stream Using Temporal Clustering
4th ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS (SPRINGl 2011), held in conjunction with 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011) November 1-4, 2011 in Chicago, Illinois, USA. S. 9-16 (2011)
[SPRINGL 2011] [ACM SIGSPATIAL GIS 2011]
Günnemann S., Färber I., Müller E., Assent I., Seidl T.:
External Evaluation Measures for Subspace Clustering
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK S.1363-1372 (2011)
[CIKM 2011]
Müller E., Assent I., Günnemann S., Seidl T.:
Scalable Density-Based Subspace Clustering
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK S.1077-1086 (2011)
[CIKM 2011]
Kremer H., Kranen P., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.:
An Effective Evaluation Measure for Clustering on Evolving Data Streams
Proc. of the 17th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD 2011), San Diego, CA, USA S.868-876 (2011)
[KDD 2011] [DOI: 10.1145/2020408.2020555]
Zimmer (née Ivanescu) A., Albin T., Abel D., Seidl T.:
Employing Correlation Clustering for the Identification of Piecewise Affine Models
Workshop on Knowledge Discovery, Modeling and Simulation (KDMS 2011) in conjunction with the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), CA, San Diego, USA  S.7-14 (2011) Best Student Paper Award
[KDMS 2011] [KDD 2011]
Günnemann S., Boden B., Seidl T.:
DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece S.565-580 (2011) ECML PKDD 2011 Best Paper Award in Data Mining
[ECML PKDD 2011] [Full Text PDF]
Hassani M., Seidl T.:
Network Intrusion Detection using a Secure Ranking of Hidden Outliers
Proc. of the seventh International Computing Conference in Arabic (ICCA 2011), Riyadh, Saudi Arabia (to appear) (2011)
[ICCA 2011]
Kranen P., Reidl F., Sanchez Villaamil F., Seidl T.:
Hierarchical Clustering for Real-Time Stream Data with Noise
Proc. of the 23nd International Conference on Scientific and Statistical Database Management (SSDBM 2011), Portland, Oregon, USA S.405-413 (2011)
[SSDBM 2011]
Zimmer (née Ivanescu) A., Wichterich M., Seidl T.:
ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information
Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), in conjunction with the International Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Shenzhen, China. S.185-196 (2011)
[PAKDD 2011] [QIMIE 2011] [DOI: 10.1007/978-3-642-28320-8_16]
Günnemann S., Kremer H., Laufkötter C., Seidl T.:
Tracing Evolving Clusters by Subspace and Value Similarity
Proc. 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Shenzhen, China S.444-456 (2011)
[PAKDD 2011]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at SIAM International Conference on Data Mining (SDM 2011), Mesa, Arizona, USA. (2011)
[SDM 2011] [Tutorial Website]
Bifet A., Holmes G., Pfahringer B., Read J., Kranen P., Kremer H., Jansen T., Seidl T.:
MOA: a Real-time Analytics Open Source Framework
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece S.617-620 (2011) (Demo)
[ECML PKDD 2011]
Müller E., Schiffer M., Seidl T.:
Statistical Selection of Relevant Subspace Projections for Outlier Ranking
Proc. IEEE 27th International Conference on Data Engineering (ICDE 2011), Hannover, Germany S.434-445 (2011) (full paper acceptance rate 19.8%)
[ICDE 2011]
Müller E., Assent I., Günnemann S., Gerwert P., Hannen M., Jansen T., Seidl T.:
A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany S.347-366 (2011)
[BTW 2011]
Hassani M., Kranen P., Seidl T.:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time
KDML Workshop on Knowledge Discovery, Data Mining and Machine Learning in conj. with LWA 2011, Magdeburg, Germany (2011)
[LWA 2011]