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Implementation of Association Rules in Distributed Databases using Privacy Preserving Mining Algorithm

N. TEJCHAND, R. SRINIVAS, K. PRASADA RAO

Abstract


Mining of data is used to retrieve necessary data from integrated data sources. Association rule mining is one of the most important applications of data mining and is the major problems in data mining. Recently, in need of security, more and more people are studying privacy- preserving association rules mining in distributed database. This paper addresses a secure mining algorithm of association rules, which builds a global hash table to prune item- sets and incorporate cryptographic techniques to minimize the shared information.

Keywords


Integrated Data Sources, Association Rule Mining, Privacy, Distributed Databases, Prune, Cryptographic Techniques.

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