文章基本信息

标题：Association Rule Hiding Techniques for Privacy Preserving Data Mining: A Study
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作者：Gayathiri P ; Dr. B Poorna
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2015
卷号：6
期号：12
DOI：10.14569/IJACSA.2015.061232
出版社：Science and Information Society (SAI)
摘要：Association rule mining is an efficient data mining technique that recognizes the frequent items and associative rule based on a market basket data analysis for large set of transactional databases. The probability of most frequent data item occurrence of the transactional data items are calculated to present the associative rule that represents the habits of buying products of the customers in demand. Identifying associative rules of a transactional database in data mining may expose the confidentiality and privacy of an organization and individual. Privacy Preserving Data Mining (PPDM) is a solution for privacy threats in data mining. This issue is solved using Association Rule Hiding (ARH) techniques in Privacy Preserving Data Mining (PPDM). This research work on Association Rule Hiding technique in data mining performs the generation of sensitive association rules by the way of hiding based on the transactional data items. The property of hiding rules not the data makes the sensitive rule hiding process is a minimal side effects and higher data utility technique.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Association rule mining; transactional data; privacy preservation; Association Rule Hiding (ARH); Privacy Preserving Data Mining (PPDM)