2009 |
24 | | Ira Assent,
Stephan Günnemann,
Hardy Kremer,
Thomas Seidl:
High-Dimensional Indexing for Multimedia Features.
BTW 2009: 187-206 |
23 | | Ira Assent:
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases.
BTW 2009: 428-437 |
22 | EE | 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 |
21 | EE | Ira Assent:
Actively Building Private Recommender Networks for Evolving Reliable Relationships.
ICDE 2009: 1611-1614 |
2008 |
20 | EE | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
EDSC: efficient density-based subspace clustering.
CIKM 2008: 1093-1102 |
19 | EE | Ira Assent,
Emmanuel Müller,
Ralph Krieger,
Timm Jansen,
Thomas Seidl:
Pleiades: Subspace Clustering and Evaluation.
ECML/PKDD (2) 2008: 666-671 |
18 | EE | Ira Assent,
Ralph Krieger,
Farzad Afschari,
Thomas Seidl:
The TS-tree: efficient time series search and retrieval.
EDBT 2008: 252-263 |
17 | EE | 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 |
16 | EE | Emmanuel Müller,
Ira Assent,
Uwe Steinhausen,
Thomas Seidl:
OutRank: ranking outliers in high dimensional data.
ICDE Workshops 2008: 600-603 |
15 | EE | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy.
ICDM 2008: 719-724 |
14 | EE | Emmanuel Müller,
Ira Assent,
Ralph Krieger,
Timm Jansen,
Thomas Seidl:
Morpheus: interactive exploration of subspace clustering.
KDD 2008: 1089-1092 |
13 | EE | Ira Assent,
Ralph Krieger,
Petra Welter,
Jörg Herbers,
Thomas Seidl:
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters.
PAKDD 2008: 40-52 |
12 | EE | 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 |
11 | EE | 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 | EE | Ira Assent,
Ralph Krieger,
Thomas Seidl:
AttentionAttractor: efficient video stream similarity query processing in real time.
ICDE 2007: 1509-1510 |
9 | EE | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
DUSC: Dimensionality Unbiased Subspace Clustering.
ICDM 2007: 409-414 |
8 | EE | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
Subspace outlier mining in large multimedia databases.
Parallel Universes and Local Patterns 2007 |
7 | EE | 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 | EE | Ira Assent,
Ralph Krieger,
Emmanuel Müller,
Thomas Seidl:
VISA: visual subspace clustering analysis.
SIGKDD Explorations 9(2): 5-12 (2007) |
2006 |
5 | EE | Ira Assent,
Thomas Seidl:
Efficient multi-step query processing for EMD-based similarity.
Content-Based Retrieval 2006 |
4 | EE | Ira Assent,
Andrea Wenning,
Thomas Seidl:
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases.
ICDE 2006: 11 |
3 | EE | Ira Assent,
Ralph Krieger,
Boris Glavic,
Thomas Seidl:
Spatial Multidimensional Sequence Clustering.
ICDM Workshops 2006: 343-348 |
2 | EE | Ira Assent,
Marc Wichterich,
Thomas Seidl:
Adaptable Distance Functions for Similarity-based Multimedia Retrieval.
Datenbank-Spektrum 19: 23-31 (2006) |
2005 |
1 | EE | Mohammed Javeed Zaki,
Markus Peters,
Ira Assent,
Thomas Seidl:
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets.
KDD 2005: 736-742 |