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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015 | Popularity: 6.8 / 10

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Survey on Secured Association Rule Mining in Partitioned Database

Gurpreet Kaur Bhatti, Prof. Ravi Patki

Abstract: Rapidly development in the IT field and the problems occurred during the storage of the tremendous data is today-s biggest problem. For discovering correlation between the large set of data items the distributed association rule mining plays a very important role. In present the focus of research is going on for improving the efficiency of the algorithm for association rule mining and increasing the speed of the mining process. Many researchers focuses on the improving the efficiency of association rule mining in distributed environment by deploying the intelligent agent for the mining frequent item sets and generate association rule. In our proposed work we proposed the protocol for detecting the fake and duplicate frequent rules in the framework, which attempts to reduce the communication overhead. We provide security to the application by using the RC4 algorithm. This method secured both the partitioned of database i. e. horizontal and vertical partitioned.

Keywords: tree, Data stream, Gaussian approximation, Information gain

Edition: Volume 4 Issue 4, April 2015

Pages: 1925 - 1927

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