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AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
DAWAK
2005
Springer
14 years 1 months ago
Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
Abstract. In this paper, we present a new approach to indexing multidimensional data that is particularly suitable for the efficient incremental processing of nearest neighbor quer...
Evangelos Dellis, Bernhard Seeger, Akrivi Vlachou
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 8 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
14 years 1 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...