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» Privacy and Data Mining: New Developments and Challenges
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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
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 5 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...
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
12 years 11 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
IADIS
2003
13 years 9 months ago
E-Technology V E-Law: Legal Challenges to the Information Society
In the area of electronic and mobile commerce there are unique legal risks as well as concerns that apply to traditional businesses. Various laws have been successfully applied to...
Elaine Lawrence, Gordana Culjak, John Lawrence
ICDM
2008
IEEE
95views Data Mining» more  ICDM 2008»
14 years 2 months ago
Publishing Sensitive Transactions for Itemset Utility
We consider the problem of publishing sensitive transaction data with privacy preservation. High dimensionality of transaction data poses unique challenges on data privacy and dat...
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Che...