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Association Rules Algorithm And Its Application In The Field Of Internet Education

Posted on:2017-03-03Degree:MasterType:Thesis
Country:ChinaCandidate:J J DengFull Text:PDF
GTID:2297330482488218Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Data mining originated in the early 1990 s, with the rapid development of modern society, a variety of information explosive growth trend,although the data explosion but the information was still frequent.Research on how to find meaningful information from the vast human data become the focus of attention of many experts and scholars.As the field of data mining is an important research direction,association rules algorithm is still perfect since Agrawal proposed improvements. Essence is the association rule algorithm from the vast amounts of raw data to find two or more of data having a certain relationship. With experts and scholars on the development of the association rules algorithm optimization, association rules technology is increasingly integrated into people all walks of life, including: business,medicine, network information security, software testing, and so on.Theoretical research of association rules from the initial development to the now frequent pattern mining closed patterns mining, incremental mining association rules interesting measures, data flow and other types of data are more abundant on the mining.This paper focuses on several popular association rules algorithms detailed research and analysis. Discusses their respective advantages and disadvantages and disadvantages for association rule algorithm proposedimprovement ideas. On the algorithm for association rules in the field of Internet education applications put forward their views and suggestions.Finally, the development of data mining technology association rules technology in the future.
Keywords/Search Tags:ssociation rules, Internet Education, Apriori algorithm
PDF Full Text Request
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