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» Privacy and Data Mining: New Developments and Challenges
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
ECIS
2003
13 years 9 months ago
Meeting privacy obligations: the implications for information systems development
The European Union(EU) Data Protection (Privacy) Directive of 1995 (EUPD) and resulting legislation introduced by member states is designed to ensure that business activity is sub...
Reeva M. Lederman, Graeme G. Shanks, Martin R. Gib...
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 28 days ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 9 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
JMLR
2010
165views more  JMLR 2010»
13 years 2 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao