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Customer Tagmeme Application Research Based On Data Mining

Posted on:2007-08-03Degree:DoctorType:Dissertation
Country:ChinaCandidate:C S LiuFull Text:PDF
GTID:1119360182983012Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Content:Chinese enterprises face the challenge of unprecedented marketization andcustomer's individualization. Customer tagmeme management is a kind of business strategy,which focuses on understanding and managing present and potential customer's requirements.It is an endless course. There are changes of strategy, organization and technology during thecourse. Companies can manage their own enterprises better around customer's behaviorthrough these changes. Therefore, if making a systematic and overall general dissertationfrom different sides for above-mentioned problems, it will have important realistic meaningand theoretical meaning.In order to define the connotation of the research object and make sure the exactness ofresearch thought, the second chapter firstly describes the concept of DM, methods, tool,function and implementation step. In view of DM basing on the data, it must set up customerdatabase to realize customer tagmeme application research, and then discuss customertagmeme. Customer's satisfaction and customer's loyalty is the top level of customertagmeme analysis. The thesis also researches it so as to show the integrality of applicationresearch. No matter what every part, the thesis discusses the definition and function of DM inthe customer tagmeme application from the point of view of application. Throughsummarizing and summing up, it thinks customer tagmeme has reflected three aspectscontents of management, decision and technology.Customer tagmeme is a kind of management idea for enterprise operation;Customer tagmeme is a data driving and enterprise's decision course;Customer tagmeme is a kind of integration system of advanced technology.In order to define the main application topic of customer tagmeme based on DM, the thirdchapter researches main problems existing in the customer tagmeme application. It mainlyfocuses on the following aspects:Customer mining;Misty forecast of customer's demand;Customer's file knowledge mining;Customer value;Interactive analysis for customer's satisfaction and royaltyIn order to explain the guiding function of DM to customer tagmeme, the fourth chaptercarries on research from the point of view of method and demonstration application, focusingon the following aspects:Customer shares;Ability analysis of customer's profit;Appraisal of customer's net value;Customer creates value;Contrast analysis in the same industry;Analysis of satisfaction appraisal;On the basis of some customers' data, the fifth chapter puts forward customer tagmeme'sgray model, developing model, plan and decision model and loyalty factor model. It alsoanalyzes customer tagmeme, customer's development and keep, potential and competitivecustomer, satisfaction decision and competition factors. The aim is to verify the effectivenessof DM in customer tagmeme application through tossing out a brick to get a jade, and explorethe methods of DM applied into customer tagmeme.In order to clarify the strong data analysis capacity of DM, the sixth chapter introducesand analyzes the common DM arithmetic (SOM and BP arithmetic in manual NN arithmetic)in customer relation management application.Considering customer tagmeme application system based on DM is a complicated system,and the content of research is wide, the seventh chapter just takes Internet as an example todesign and analyze. It also represents some parts of arithmetic and program design ofcustomer tagmeme analysis system.The eighth chapter is conclusion.It summarizes and puts forward the improved aspects the thesis needs and main problemsresearching in the future.
Keywords/Search Tags:data mining, customer, tagmeme, model, algorithm
PDF Full Text Request
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