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» Privacy and Data Mining: New Developments and Challenges
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KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 8 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 8 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
ICWS
2003
IEEE
13 years 9 months ago
Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges
Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across variou...
Vagan Y. Terziyan, Oleksandr Kononenko
DEBU
2010
99views more  DEBU 2010»
13 years 7 months ago
Search-As-You-Type: Opportunities and Challenges
Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the unde...
Chen Li, Guoliang Li
SAC
2006
ACM
14 years 1 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya