A Review on Methodologies of Hiding Association Rules for Privacy Preserving |
Author(s): |
| Bhushan Mahajan , Vidya Pratishthan College of Engineering |
Keywords: |
| Data Mining, Privacy Preserving Data Mining, Association Rules, Apriori |
Abstract |
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Data mining is the powerful technology to extract pattern or knowledge from huge dataset. Nevertheless, misuse of such technology may lead to the exposé of important information. Privacy preserving with data mining (PPDM) is new explore direction for disclosure of sensitive knowledge. There are various techniques used in Privacy preserving with data mining to hide association rules generated by association rule generation algorithms like Apriori. Main objective of privacy preserving data mining is to discover association rules and to conceal sensitive association rules. Association rule hiding is the process of modifying original database in such way that sensitive rules are moved out. In this paper, a survey of the variety of approaches of association rule hiding has been described. |
Other Details |
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Paper ID: IJSRDV4I40792 Published in: Volume : 4, Issue : 4 Publication Date: 01/07/2016 Page(s): 883-886 |
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