A Modified Approach for Privacy Preserving Association Rule Mining In Horizontally Distributed Database |
Author(s): |
| Vrunda Patel , L.J.Institute of Technology; Jasmin Jha, L.J.Institute of Engineering |
Keywords: |
| Association Rule Mining, Privacy Preserving |
Abstract |
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Many data mining techniques are available to explore useful hidden information from large databases. Amomg these, association rule mining has wide applications to discover interesting relationships among attributes. The issue of privacy arises when the data is distributed among multiple sites and no site owner wishes to provide their private data to other sites but they are interested to know the global results obtained from mining process. Many researchers have put their effort for preserving privacy in Association Rule Mining. In this paper, we have presented the survey about the techniques and algorithms used for preserving privacy association rule mining in horizontally partitioned database. |
Other Details |
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Paper ID: IJSRDV3I31032 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3617-3620 |
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