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Research And Application Of Association Rules Mining Algorithms In Business Intelligence

Posted on:2010-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2178360275499356Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
This article firstly started with business intelligence, introduced the concept and development of business intelligence, as well as the development of technology, features, including data warehousing, OLAP and data mining. Which focuses on the technology of association rules in data mining.Data mining technology has attracted extensive attention in information technology industry .Association rules is one of the major research direction in data mining and has tremendous applications in business, science and other domains. First. Based on the basic concepts of the association rules,analyses and studies the Apriori algorithms of association rules in detail. All kinds of optimized techniques which are designed to promote the algorithms efficiency are also studied and discussed in detail here.Based on the basic,the improved apriori mining algorithm which based on the genetic algorithm is proposed.And has carried on the simulation,the result demonstrated the improved apriori mining algorithm can improve the efficiency greatly. And then the association rule mining techniques applied to the field of business, For business decision-makers to develop products and customers for the management of a series of business decisions to provide a reference.
Keywords/Search Tags:Business Intelligence, Data Mining, Association Rule, Frequent Itemsets, Apriori algorithms, genetic algorithm
PDF Full Text Request
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