文章基本信息

标题：Association Rules Mining in Vertically Distributed Databases
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作者：P.Kalaivani ; D.Kerana Hanirex ; Dr.K.P.Kaliyamurthie 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303157
出版社：S&S Publications
摘要：Data mining is the process of analyzing data from different perspectives and summarizing it into usefulinformation that can be used to make proactive, knowledge driven decisions. This process helps us to predict futuretrends and behaviours. Association Rule mining is one of the important and well researched techniques of data mining.We propose a protocol for secure mining of association rules in vertically distributed databases. The protocol [1] wasexperimented based on Fast Distributed Mining (FDM) algorithm and Secure Multi Party Algorithm over horizontallydistributed databases. Our protocol is based on Apriori Algorithm and Secure Multiparty Algorithm simulated oververtically distributed databases. In this Paper, we have shown the experiment results of Apriori Algorithm and SecureMulti Party Algorithm over vertically distributed databases for finding Frequent Item Sets and efficiency overcomputation of arriving Association Rules.
关键词：Apriori Algorithm; Frequent Item Sets; Fast Distributed Algorithm (FDM); Association Rules; Multi;Party Algorithm