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Ira Assent
2010 – today
- 2013
[c41]- [c40]Matteo Magnani, Ira Assent: From stars to galaxies: skyline queries on aggregate data. EDBT 2013: 477-488
- [c39]Xuan Hong Dang, Barbora Micenková, Ira Assent, Raymond T. Ng: Local Outlier Detection with Interpretation. ECML/PKDD (3) 2013: 304-320
- [c38]Ira Assent, Xuan Hong Dang, Barbora Micenková, Raymond T. Ng: Outlier Detection with Space Transformation and Spectral Analysis. SDM 2013: 225-233
- [e3]Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek (Eds.): Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2334-5
- 2012
- [j13]Philipp Kranen, Ira Assent, Thomas Seidl: An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum 12(1): 43-50 (2012)
- [j12]Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis: Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. 24(2): 338-352 (2012)
- [j11]Ira Assent: Clustering high dimensional data. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(4): 340-350 (2012)
- [c37]Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl: AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) 2012: 228-242
- [c36]Emmanuel Müller, Ira Assent, Patricia Iglesias Sanchez, Yvonne Mülle, Klemens Böhm: Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM 2012: 529-538
- 2011
- [j10]Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: The ClusTree: indexing micro-clusters for anytime stream mining. Knowl. Inf. Syst. 29(2): 249-272 (2011)
- [c35]Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW 2011: 347-366
- [c34]Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl: Scalable density-based subspace clustering. CIKM 2011: 1077-1086
- [c33]Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl: External evaluation measures for subspace clustering. CIKM 2011: 1363-1372
- [c32]Nguyen Hoang Vu, Vivekanand Gopalkrishnan, Ira Assent: An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data. DASFAA (1) 2011: 138-152
- [c31]Carmen Ruiz Vicente, Ira Assent, Christian S. Jensen: Effective Privacy-Preserving Online Route Planning. Mobile Data Management (1) 2011: 119-128
- [c30]Christian Beecks, Ira Assent, Thomas Seidl: Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. MMM (1) 2011: 140-150
- [c29]Hardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl: Efficient Processing of Multiple DTW Queries in Time Series Databases. SSDBM 2011: 150-167
- [e2]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl (Eds.): Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011. CEUR Workshop Proceedings 772, CEUR-WS.org 2011
- 2010
- [j9]Ira Assent: Effiziente Ähnlichkeitssuche und Data Mining in großen Multimediadatenbanken (Efficient Adaptive Retrieval and Mining in Large Multimedia Databases). it - Information Technology 52(1): 45-47 (2010)
- [c28]Ira Assent, Hardy Kremer, Thomas Seidl: Speeding Up Complex Video Copy Detection Queries. DASFAA (1) 2010: 307-321
- [c27]Ira Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl: Pattern detector: fast detection of suspicious stream patterns for immediate reaction. EDBT 2010: 709-712
- [c26]Ira Assent: Mining and representing recommendations in actively evolving recommender systems. ICDE Workshops 2010: 282-285
2000 – 2009
- 2009
- [j8]Ira Assent, Marc Wichterich, Ralph Krieger, Hardy Kremer, Thomas Seidl: Anticipatory DTW for Efficient Similarity Search in Time Series Databases. PVLDB 2(1): 826-837 (2009)
- [j7]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009)
- [c25]Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl: High-Dimensional Indexing for Multimedia Features. BTW 2009: 187-206
- [c24]Ira Assent: Efficient Adaptive Retrieval and Mining in Large Multimedia Databases. BTW 2009: 428-437
- [c23]Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann: Indexing density models for incremental learning and anytime classification on data streams. EDBT 2009: 311-322
- [c22]Ira Assent: Actively Building Private Recommender Networks for Evolving Reliable Relationships. ICDE 2009: 1611-1614
- [c21]Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: Self-Adaptive Anytime Stream Clustering. ICDM 2009: 249-258
- [c20]Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl: Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. ICDM 2009: 377-386
- [c19]Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184
- [c18]
- [c17]Emmanuel Müller, Ira Assent, Thomas Seidl: HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM 2009: 497-516
- [e1]Nikos Mamoulis, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, Ira Assent (Eds.): Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings. Lecture Notes in Computer Science 5644, Springer 2009, ISBN 978-3-642-02981-3
- 2008
- [b1]Ira Assent: Efficient adaptive retrieval and mining in large multimedia databases. RWTH Aachen University 2008, pp. 1-247
- [j6]David Ruau, Corinna Kolárik, Heinz-Theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-Apitius, Martin Zenke: Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. BMC Bioinformatics 9(S-10) (2008)
- [j5]Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Clustering multidimensional sequences in spatial and temporal databases. Knowl. Inf. Syst. 16(1): 29-51 (2008)
- [c16]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: EDSC: efficient density-based subspace clustering. CIKM 2008: 1093-1102
- [c15]Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl: The TS-tree: efficient time series search and retrieval. EDBT 2008: 252-263
- [c14]Ira Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl: Efficient similarity search using the Earth Mover's Distance for large multimedia databases. ICDE 2008: 307-316
- [c13]Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl: OutRank: ranking outliers in high dimensional data. ICDE Workshops 2008: 600-603
- [c12]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008: 719-724
- [c11]Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl: Morpheus: interactive exploration of subspace clustering. KDD 2008: 1089-1092
- [c10]Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl: SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. PAKDD 2008: 40-52
- [c9]Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl: Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) 2008: 666-671
- [c8]Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl: Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. SIGMOD Conference 2008: 199-212
- 2007
- [j4]Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl: Clicks: An effective algorithm for mining subspace clusters in categorical datasets. Data Knowl. Eng. 60(1): 51-70 (2007)
- [j3]Ira Assent, Sebastian Seibert: An upper bound for transforming self-verifying automata into deterministic ones. ITA 41(3): 261-265 (2007)
- [j2]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: VISA: visual subspace clustering analysis. SIGKDD Explorations 9(2): 5-12 (2007)
- [c7]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns 2007
- [c6]Ira Assent, Ralph Krieger, Thomas Seidl: AttentionAttractor: efficient video stream similarity query processing in real time. ICDE 2007: 1509-1510
- [c5]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007: 409-414
- 2006
- [j1]Ira Assent, Marc Wichterich, Thomas Seidl: Adaptable Distance Functions for Similarity-based Multimedia Retrieval. Datenbank-Spektrum 19: 23-31 (2006)
- [c4]Ira Assent, Thomas Seidl: Efficient multi-step query processing for EMD-based similarity. Content-Based Retrieval 2006
- [c3]Ira Assent, Andrea Wenning, Thomas Seidl: Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. ICDE 2006: 11
- [c2]Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Spatial Multidimensional Sequence Clustering. ICDM Workshops 2006: 343-348
- 2005
- [c1]Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl: CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. KDD 2005: 736-742
Coauthor Index
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last updated on 2013-10-02 11:21 CEST by the dblp team