VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets

Volume: 57, Issue: 5, Pages: 102255 - 102255
Published: Sep 1, 2020
Abstract
Collaborative frequent itemset mining involves analyzing the data shared from multiple business entities to find interesting patterns from it. However, this comes at the cost of high privacy risk. Because some of these patterns may contain business-sensitive information and hence are denoted as sensitive patterns. The revelation of such patterns can disclose confidential information. Privacy-preserving data mining (PPDM) includes various...
Paper Details
Title
VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets
Published Date
Sep 1, 2020
Volume
57
Issue
5
Pages
102255 - 102255
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