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» Constraint-Based Pattern Set Mining
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117
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RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 8 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
145
Voted
AVI
2004
15 years 4 months ago
CircleView: a new approach for visualizing time-related multidimensional data sets
This paper introduces a new approach for visualizing multidimensional time-referenced data sets, called Circle View. The Circle View technique is a combination of hierarchical vis...
Daniel A. Keim, Jörn Schneidewind, Mike Sips
133
Voted
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 4 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
146
Voted
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
16 years 3 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
135
Voted
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 6 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar