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» Agent-Enriched Data Mining Using an Extendable Framework
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SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
13 years 6 days ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 1 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICCV
2009
IEEE
16 years 2 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
15 years 11 months ago
DIPBench Toolsuite: A Framework for Benchmarking Integration Systems
So far the optimization of integration processes between heterogeneous data sources is still an open challenge. A first step towards sufficient techniques was the specification of ...
Dirk Habich, Matthias Böhm, Uwe Wloka, Wolfga...
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 4 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...