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The Data Mining In The Assessment Of Suppliers And Its Application

Posted on:2015-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:R Y JiangFull Text:PDF
GTID:2428330491452514Subject:Software engineering
Abstract/Summary:PDF Full Text Request
E-commerce system in People's Daily economic life,is more and more widely used.E-commerce companies by increasing access to information system to collect user data,but only by manual analysis processing,and can't from these precious and large user information and transaction data extracted useful information.So in recent years,many e-commerce companies have introduced advanced data mining analysis software,to analysis these huge hiding huge valuable information and data.In the e-commerce companies use more of the data mining technology is recommended.Recommendation system is mainly used to help users deal with too much information,provide users with personalized advice,content and services.This paper mainly discusses the basic concepts of data mining technology and basic algorithm of recommendation system.At the time of data mining system is introduced in this paper,we mainly introduced the classification method,the data mining system,and data mining system how to integrate and database system.While for recommendation system we mainly introduced the recommended classic algorithms.Finally put forward a recommendation algorithm based on decision tree,and the experimental results of concrete is introduced in detail.In this paper,we study the application of data mining technology in supplier evaluation,by making full use of fuel management system to produce large amounts of data,the key research alternative covering algorithm and nuclear covering algorithm application in supplier evaluation,thus further to eliminate interference with human factors in the evaluation of suppliers,and improve the real-time performance of supplier performance evaluation.Focus on comprehensive analysis and reference to relevant theories and methods of the supplier evaluation results on the basis of design to build a strategic supplier selection and evaluation model,and through the method of data mining to analyze enterprise suppliers historical trading data,clustering and neural network algorithm is used to analyze the supplier classification,so as to achieve the aim of to evaluate suppliers,and discusses the specific implementation steps.
Keywords/Search Tags:data mining, Suppliers, algorithm, evaluation
PDF Full Text Request
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