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  • 标题:Association Rules Mining in Vertically Distributed Databases
  • 本地全文:下载
  • 作者:P.Kalaivani ; D.Kerana Hanirex ; Dr.K.P.Kaliyamurthie
  • 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
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