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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
13 years 10 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
SDM
2004
SIAM
189views Data Mining» more  SDM 2004»
13 years 10 months ago
An Abstract Weighting Framework for Clustering Algorithms
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
Richard Nock, Frank Nielsen
SDM
2004
SIAM
229views Data Mining» more  SDM 2004»
13 years 10 months ago
R-MAT: A Recursive Model for Graph Mining
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
Deepayan Chakrabarti, Yiping Zhan, Christos Falout...
SDM
2003
SIAM
91views Data Mining» more  SDM 2003»
13 years 10 months ago
An Outlier-based Data Association Method for Linking Criminal Incidents
Serial criminals are a major threat in the modern society. Associating incidents committed by the same offender is of great importance in studying serial criminals. In this paper,...
Song Lin, Donald E. Brown
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 10 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen