Privacy Preserving Data Mining: Challenges and Opportunities

Authors:
Ramakrishnan Srikant
Affiliations:
-
Venue:
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Year:
2002

Citing 0
Cited 3

An epistemic framework for privacy protection in database linking

Data & Knowledge Engineering
Privacy preserving itemset mining through fake transactions

Proceedings of the 2007 ACM symposium on Applied computing
Granulation as a privacy protection mechanism

Transactions on rough sets VII

Quantified Score

Hi-index	0.00

Visualization

Abstract

The goal of privacy preserving data mining is to develop accurate models without access to precise information in individual data records, thus finessing the conflict between privacy and data mining. In this talk, I will give an introduction to the techniques underlying privacy preserving data mining, and then discuss several application domains. In particular, recent events have led to an increased interest in applying data mining toward security related problems, leading to interesting technical challenges at the intersection of privacy, security and data mining.