Ira Assent

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

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