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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015

Secure Mining of Association Rules from Homogeneous Database

Mahale Mohini V. | Shaikh I.R.

Abstract: Data mining extracts interesting information and patterns from large database. One of the most widely used technic in data mining is association rule mining. This extracts correlation of attributes from the large database. These extracted rules are used for define some predicates in various application. In the case of distributed database the data is get shared from number of users. The data shared by those users should not disclose to other users while the efficient rules are get calculated from this share database. This paper provides the protocol which wills securely extract the association rules from the shared database. Here we are considering the example of online shopping store. Where owner of the shop will extract the rules from the transactional database.

Keywords: Privacy preserving data mining, distributed computation, frequent item sets, association rules, secure multiparty computation

Edition: Volume 4 Issue 7, July 2015,

Pages: 1608 - 1611