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The Application Of Data Mining Technology In The Education Industry Crm Research

Posted on:2014-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:G Q XuFull Text:PDF
GTID:2248330398457812Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the economic development and penetration of customer-centric managementideas,the CRM that people-oriented and information-processed attract more and morebusiness owners,attention. Education sector as an important part of the social structure facedifficulties as enrollment competition,customer demand is diversified,low utilization rate ofinformation in education sector,urgent demand for high efficiency and low cost.Educationsector increasingly need the help and support of CRM.The special nature of the products and services in education industry,"visible" and"invisible"of revenue in education sector,the commonality of educational institutions andcustomers,customers demand for personalized and the diversity of the clients, duality ofcustomer roles,customer needs differences made CRM presents complexity in educationindustry.The main content of the paper is divided into three parts,summary of application thatdata mining technology in the education sector CRM,the applied research of decision treetechnology in elective system,the applied research of association rules in talentattraction.summary of application that data mining technology in the education sector CRMinclude basic concept of CRM,knowledge of data mining,outline of CRM system educationsector.The applied research of decision tree technology in elective system include significancethat decision tree technology in elective system,the elective system design strategy,theimplementation process of decision tree technology,specific cases of the decision treetechnology implementation.The applied research of association rules in talent attractioninclude technical Overview of the association rules,implementation process of associationrules technology,implementation case that association rules used in talent attraction plan.
Keywords/Search Tags:education industry, CRM, data mining, decision tree technology, association rules
PDF Full Text Request
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