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The Research Of SMS Based On Data Mining

Posted on:2011-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:Q P ZhaoFull Text:PDF
GTID:2248330395955423Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Data mining is a method which can get a lot of knowledge from the data. It combines Databases, Artificial Intelligence, Statistics, Visualization and some other technology which could use certain algorithms to identify the potential law of the data, analysis the product characteristics and users’behavior features, provide a basis of decision making for the enterprise operations management. And these have been widely used in many fields.This topic mainly talks about the features of data mining, the process of the data mining and also the Association Rules, Decision Tree, Cluster, Neural Networks,and etc.To the actual situation of SMS of a Telecom Company, In order to reducing customer complaints and increase business volume, were used clustering, association rules, decision tree, time series data mining methods, draw conclusions and recommendations given:According to the User clustering and association between business, we could establish the marketing strategies, we strengthen the control of SP services to enhance service quality, we also guide the PHS users who are off the net into the CDMA2000network. We hope these experiences could provide useful operational information to the development of SMS.
Keywords/Search Tags:Data Mining, Short Messages, Association Rules, Clustering
PDF Full Text Request
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