 | 2012 |
| 19 |  | Philipp Kranen,
Hardy Kremer,
Timm Jansen,
Thomas Seidl,
Albert Bifet,
Geoff Holmes,
Bernhard Pfahringer,
Jesse Read:
Stream Data Mining Using the MOA Framework.
DASFAA (2) 2012: 309-313 |
| 18 |  | Hardy Kremer,
Stephan Günnemann,
Arne Held,
Thomas Seidl:
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases.
PAKDD (1) 2012: 444-455 |
| 17 |  | Stephan Günnemann,
Hardy Kremer,
Charlotte Laufkötter,
Thomas Seidl:
Tracing Evolving Subspace Clusters in Temporal Climate Data.
Data Min. Knowl. Discov. 24(2): 387-410 (2012) |
| 2011 |
| 16 |  | Albert Bifet,
Geoff Holmes,
Bernhard Pfahringer,
Jesse Read,
Philipp Kranen,
Hardy Kremer,
Timm Jansen,
Thomas Seidl:
MOA: A Real-Time Analytics Open Source Framework.
ECML/PKDD (3) 2011: 617-620 |
| 15 |  | Stephan Günnemann,
Hardy Kremer,
Dominik Lenhard,
Thomas Seidl:
Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations.
EDBT 2011: 237-248 |
| 14 |  | Hardy Kremer,
Philipp Kranen,
Timm Jansen,
Thomas Seidl,
Albert Bifet,
Geoff Holmes,
Bernhard Pfahringer:
An effective evaluation measure for clustering on evolving data streams.
KDD 2011: 868-876 |
| 13 |  | Stephan Günnemann,
Hardy Kremer,
Charlotte Laufkötter,
Thomas Seidl:
Tracing Evolving Clusters by Subspace and Value Similarity.
PAKDD (2) 2011: 444-456 |
| 12 |  | 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 |
| 2010 |
| 11 |  | Ira Assent,
Hardy Kremer,
Thomas Seidl:
Speeding Up Complex Video Copy Detection Queries.
DASFAA (1) 2010: 307-321 |
| 10 |  | Ira Assent,
Hardy Kremer,
Stephan Günnemann,
Thomas Seidl:
Pattern detector: fast detection of suspicious stream patterns for immediate reaction.
EDBT 2010: 709-712 |
| 9 |  | Stephan Günnemann,
Hardy Kremer,
Ines Färber,
Thomas Seidl:
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions.
ICDM Workshops 2010: 1387-1390 |
| 8 |  | Philipp Kranen,
Hardy Kremer,
Timm Jansen,
Thomas Seidl,
Albert Bifet,
Geoff Holmes,
Bernhard Pfahringer:
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
ICDM Workshops 2010: 1400-1403 |
| 7 |  | Hardy Kremer,
Stephan Günnemann,
Thomas Seidl:
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques.
ICDM Workshops 2010: 96-97 |
| 6 |  | Stephan Günnemann,
Hardy Kremer,
Thomas Seidl:
Subspace Clustering for Uncertain Data.
SDM 2010: 385-396 |
| 5 |  | Albert Bifet,
Geoff Holmes,
Bernhard Pfahringer,
Philipp Kranen,
Hardy Kremer,
Timm Jansen,
Thomas Seidl:
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering.
Journal of Machine Learning Research - Proceedings Track 11: 44-50 (2010) |
| 4 |  | Stephan Günnemann,
Ines Färber,
Hardy Kremer,
Thomas Seidl:
CoDA: Interactive Cluster Based Concept Discovery.
PVLDB 3(2): 1633-1636 (2010) |
| 2009 |
| 3 |  | Ira Assent,
Stephan Günnemann,
Hardy Kremer,
Thomas Seidl:
High-Dimensional Indexing for Multimedia Features.
BTW 2009: 187-206 |
| 2 |  | Ira Assent,
Hardy Kremer:
Robust Adaptable Video Copy Detection.
SSTD 2009: 380-385 |
| 1 |  | 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) |