Privacy Preserving in Association Rule Mining
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
View: 588
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ACSIJ-4-1_004
تاریخ نمایه سازی: 9 اسفند 1393
Abstract:
Association rule mining is one of the most important techniques of data mining that are used to extract the association patterns from large databases. Association rules are one of the mostimportant assets of any organization that can be used for business development and profitability increase. Associationrules contain sensitive information that threatens the privacy of its publication and they should be hidden before publishing thedatabase. The aim of hiding association rules is to delete sensitive association rules from the published database so that possible side effects are reduced. In this paper, we present aheuristic algorithm DCR to hide sensitive association rules. In the proposed algorithm, two clustering operations are performedon the sensitive association rules and finally, a bunch of smaller clusters is chosen to hide. A selection of a smaller bunch ofclusters reduces the changes in the database and side effects. The results of performing experiments on real databases, shows the impact of the proposed algorithm on missing rules reduction
Keywords:
Authors
Zahra Kiani Abari
Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
Mohammad Naderi Dehkordi
Department of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran