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Data Mining Of Book Borrowing Information

Posted on:2018-08-10Degree:MasterType:Thesis
Country:ChinaCandidate:J ShanFull Text:PDF
GTID:2358330533961930Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
With the rapid development of computer technology and network technology,it ushers in a new Internet era characterized by information and knowledge.There is an urgent need for a new generation of technology to take advantage of the information and refine it to make it useful.Data mining is the core part of knowledge discovery.Its techniques and methods have great application space and value in the digital library.Data mining discover and extract hidden information from large databases and vast network information space in the digital library and the purpose is to help information workers search for the potential association between the data and find the neglected elements.Data mining technology can help people to develop vast amounts of information in depth,to enhance the ability of digital library to deal with the information,and to provide support for the management decision.Different readers have their own characteristics,also have similar characteristics.This paper based on the library information for four years in a University of grade 2011 undergraduates using data mining statistical analysis,association rules and collaborative filtering method,network method finds the connection between the readers,so as to develop personalized for different readers service;different kinds of books is like this,can go to explore their configuration is reasonable,which is more popular with what kind of book readers,to maximize the limited resources,improve the utilization rate of resources.According to the book information data mining,can understand the library resources on demand of readers,and improve the library personalized service to improve service efficiency,provide the basis for the library construction,library management and accurate service,provide support for the library management decision,meanwhile,guide the reading activities to the healthy development,make students complete their studies,cultivate students' innovation ability,improve the quality of teaching and school students' comprehensive quality.
Keywords/Search Tags:Data mining, statistical analysis, association rules, intelligent recommendation, network method
PDF Full Text Request
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