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ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
16 years 1 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
16 years 1 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
165
Voted
PKDD
2009
Springer
124views Data Mining» more  PKDD 2009»
16 years 1 months ago
Capacity Control for Partially Ordered Feature Sets
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
Ulrich Rückert
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
16 years 1 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville