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Ira Assent Vis

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*2009
31EENikos Mamoulis, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, Ira Assent: Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings Springer 2009
30 Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl: High-Dimensional Indexing for Multimedia Features. BTW 2009: 187-206
29 Ira Assent: Efficient Adaptive Retrieval and Mining in Large Multimedia Databases. BTW 2009: 428-437
28EEThomas 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
27EEIra Assent: Actively Building Private Recommender Networks for Evolving Reliable Relationships. ICDE 2009: 1611-1614
26EEEmmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184
25EEEmmanuel Müller, Ira Assent, Thomas Seidl: HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM 2009: 497-516
24EEIra Assent, Hardy Kremer: Robust Adaptable Video Copy Detection. SSTD 2009: 380-385
23EEEmmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009)
22EEIra 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)
2008
21EEIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: EDSC: efficient density-based subspace clustering. CIKM 2008: 1093-1102
20EEIra Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl: Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) 2008: 666-671
19EEIra Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl: The TS-tree: efficient time series search and retrieval. EDBT 2008: 252-263
18EEIra Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl: Efficient similarity search using the Earth Mover's Distance for large multimedia databases. ICDE 2008: 307-316
17EEEmmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl: OutRank: ranking outliers in high dimensional data. ICDE Workshops 2008: 600-603
16EEIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008: 719-724
15EEEmmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl: Morpheus: interactive exploration of subspace clustering. KDD 2008: 1089-1092
14EEIra Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl: SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. PAKDD 2008: 40-52
13EEMarc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl: Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. SIGMOD Conference 2008: 199-212
12EEDavid 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)
11EEIra Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Clustering multidimensional sequences in spatial and temporal databases. Knowl. Inf. Syst. 16(1): 29-51 (2008)
2007
10EEIra Assent, Ralph Krieger, Thomas Seidl: AttentionAttractor: efficient video stream similarity query processing in real time. ICDE 2007: 1509-1510
9EEIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007: 409-414
8EEIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns 2007
7EEMohammed 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)
6EEIra Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: VISA: visual subspace clustering analysis. SIGKDD Explorations 9(2): 5-12 (2007)
2006
5EEIra Assent, Thomas Seidl: Efficient multi-step query processing for EMD-based similarity. Content-Based Retrieval 2006
4EEIra Assent, Andrea Wenning, Thomas Seidl: Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. ICDE 2006: 11
3EEIra Assent, Ralph Krieger, Boris Glavic, Thomas Seidl: Spatial Multidimensional Sequence Clustering. ICDM Workshops 2006: 343-348
2EEIra Assent, Marc Wichterich, Thomas Seidl: Adaptable Distance Functions for Similarity-based Multimedia Retrieval. Datenbank-Spektrum 19: 23-31 (2006)
2005
1EEMohammed 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

1Farzad Afschari [19]
2Boris Glavic [3] [11]
3Stephan Günnemann [23] [26] [30]
4Jörg Herbers [14]
5Jennifer Herrmann [28]
6Martin Hofmann-Apitius [12]
7Timm Jansen [15] [20]
8Corinna Kolárik [12]
9Philipp Kranen [13] [28]
10Hardy Kremer [22] [24] [30]
11Ralph Krieger [3] [6] [8] [9] [10] [11] [12] [14] [15] [16] [19] [20] [21] [22] [26] [28]
12Nikos Mamoulis [31]
13Tobias Meisen [18]
14Heinz-Theodor Mevissen [12]
15Emmanuel Müller [6] [8] [9] [12] [15] [16] [17] [20] [21] [23] [25] [26]
16Torben Bach Pedersen [31]
17Markus Peters [1] [7]
18David Ruau [12]
19Thomas Seidl [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [25] [26] [28] [30] [31]
20Uwe Steinhausen [17]
21Kristian Torp [31]
22Petra Welter [14]
23Andrea Wenning [4]
24Marc Wichterich [2] [13] [18] [22]
25Mohammed Javeed Zaki (Mohammed J. Zaki) [1] [7]
26Martin Zenke [12]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)