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KDD
1995
ACM
104views Data Mining» more  KDD 1995»
15 years 10 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
15 years 8 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
15 years 8 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 5 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
15 years 5 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy