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Co-authors
(14)
Thomas Seidl
8
Bernhard Pfahringer
4
Geoffrey Holmes
4
Albert Bifet
4
Emmanuel Muller (Emmanuel Müller)
4
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(4)
PKDD
2
ICDM
1
KDD
1
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(1)
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Authors
Timm Jansen
Timm Jansen,Rheinisch Westfalische Technische Hochschule Aachen,Data Mining,Machine Learning & Pattern Recognition,Databases
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Timm Jansen
Rheinisch Westfalische Technische Hochschule Aachen
Publications:
8
|
Citations:
10
Fields:
Data Mining
,
Machine Learning & Pattern Recognition
,
Databases
View FAQ about top research areas and Fields of study
Collaborated with
14 co-authors
from 2008 to 2011
|
Cited by
19 authors
Cumulative
Annual
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Publications
(8)
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A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases
Emmanuel Müller
,
Ira Assent
,
Stephan Günnemann
,
Patrick Gerwert
,
Matthias Hannen
,
Timm Jansen
,
Thomas Seidl
Conference:
Datenbanksysteme in Büro, Technik und Wissenschaft(German Database Conference) - BTW
, pp. 347-366, 2011
An effective evaluation measure for clustering on evolving data streams
Hardy Kremer
,
Philipp Kranen
,
Timm Jansen
,
Thomas Seidl
,
Albert Bifet
,
Geoff Holmes
,
Bernhard Pfahringer
Published in 2011.
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
(
Citations: 4
)
Albert Bifet
,
Geoff Holmes
,
Bernhard Pfahringer
,
Philipp Kranen
,
Hardy Kremer
,
Timm Jansen
,
Thomas Seidl
Journal:
Journal of Machine Learning Research - JMLR
, vol. 11, pp. 44-50, 2010
SOREX: Subspace Outlier Ranking Exploration Toolkit
(
Citations: 2
)
Emmanuel Müller
,
Matthias Schiffer
,
Patrick Gerwert
,
Matthias Hannen
,
Timm Jansen
,
Thomas Seidl
Conference:
Principles of Data Mining and Knowledge Discovery - PKDD
, pp. 607-610, 2010
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
Philipp Kranen
,
Hardy Kremer
,
Timm Jansen
,
Thomas Seidl
,
Albert Bifet
,
Geoff Holmes
,
Bernhard Pfahringer
Conference:
IEEE International Conference on Data Mining - ICDM
, pp. 1400-1403, 2010
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Citations
(10 times by 10 publications)
Statistical selection of relevant subspace projections for outlier ranking
Emmanuel Milller
,
Matthias Schiffer
,
Thomas Seidl
Conference:
International Conference on Data Engineering - ICDE
, pp. 434-445, 2011
Semi-supervised learning in nonstationary environments
Gregory Ditzler
,
Robi Polikar
Conference:
International Symposium on Neural Networks - ISNN
, pp. 2741-2748, 2011
SOREX: Subspace Outlier Ranking Exploration Toolkit
(
Citations: 2
)
Emmanuel Müller
,
Matthias Schiffer
,
Patrick Gerwert
,
Matthias Hannen
,
Timm Jansen
,
Thomas Seidl
Conference:
Principles of Data Mining and Knowledge Discovery - PKDD
, pp. 607-610, 2010
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
Philipp Kranen
,
Hardy Kremer
,
Timm Jansen
,
Thomas Seidl
,
Albert Bifet
,
Geoff Holmes
,
Bernhard Pfahringer
Conference:
IEEE International Conference on Data Mining - ICDM
, pp. 1400-1403, 2010
Adaptive outlierness for subspace outlier ranking
Emmanuel Müller
,
Matthias Schiffer
,
Thomas Seidl
Conference:
International Conference on Information and Knowledge Management - CIKM
, pp. 1629-1632, 2010
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