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Data Mining In The Phs Customer Churning Applied

Posted on:2011-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y GouFull Text:PDF
GTID:2219330362452801Subject:Business Administration
Abstract/Summary:PDF Full Text Request
Along with the Data Mining (DM) technology is developing, DM has played an important role in numerous fields, so have approved by more and more people.Make use of the known data and through the establishment of mathematical model method, in the purpose to find the implicated business rule. Because the domestic and overseas of Telecom market competition is intensely, DM have applied in the manage of telecom thoroughly, adopt multiple methods to process multilayer, multi-dimensions, relevant marketing actions is extremely important and urgent.This issue is focus on the PHS(Personal Handy-phone system) consumers run off of Unicom He Bei branch, on the one hand, from the technology, it analysis the DM technology about the PHS transfer issue, on the other hand, due to carry out the commercial data mining from telecom, needs comprehensive about the business and flow path. In that way, from the business view, the paper analysis the issue of PHS to turn internet, draw up PHS remove scheme.On that basis, the paper combines characters of Telecom Data Business, focus to research the methods of consumers transfer in telecom business, pertinence to propose the commercial comprehend, data comprehend, modeling, implementation, estimate etc. phases involved the main schemes.Finally, through research classify PHS consumers of transfer, explored and established consumers subdivision,churning forecast,re-net weight, combined this three models effectively, structured the model of PHS consumers of transfer, the marketing strategies and measures of PHS consumers inter transfer and stayed. This scheme has supplied precious experiences of PHS from China Unicom, in the meanwhile have supplied beneficial references for the specialists and reader who take an interest in this theme.
Keywords/Search Tags:data mining, calling, fingerprint, clustering, decision tree
PDF Full Text Request
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