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» Performance Measurements for Privacy Preserving Data Mining
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SDM
2008
SIAM
158views Data Mining» more  SDM 2008»
15 years 3 months ago
Similarity Measures for Categorical Data: A Comparative Evaluation
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
Shyam Boriah, Varun Chandola, Vipin Kumar
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
16 years 3 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
15 years 8 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...
ADC
2009
Springer
175views Database» more  ADC 2009»
15 years 8 months ago
Conditional Purpose Based Access Control Model for Privacy Protection
This paper presents a model for privacy preserving access control which is based on variety of purposes. Conditional purpose is applied along with allowed purpose and prohibited p...
Md. Enamul Kabir, Hua Wang
144
Voted
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 12 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...