{"title":"基于数据挖掘的3G用户行为忠诚模型研究","authors":"Di haolin, Jiao liuyan","doi":"10.1109/ICSESS.2012.6269453","DOIUrl":null,"url":null,"abstract":"In this paper, the author subdivides the evaluation factors of subscriber's behavior loyalty under the guidance of the precise marketing, puts forward subscriber's behavior of 3G loyalty model, and according to the correlation analysis about all of data of 3G subscriber from a regional operator in 2010 August with SAS software, features of behavior loyalty in deep subscriber . It is a foundation to make a reasonable marketing strategy.","PeriodicalId":205738,"journal":{"name":"2012 IEEE International Conference on Computer Science and Automation Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The research on the behavior loyalty model of 3G subscriber based on data mining\",\"authors\":\"Di haolin, Jiao liuyan\",\"doi\":\"10.1109/ICSESS.2012.6269453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the author subdivides the evaluation factors of subscriber's behavior loyalty under the guidance of the precise marketing, puts forward subscriber's behavior of 3G loyalty model, and according to the correlation analysis about all of data of 3G subscriber from a regional operator in 2010 August with SAS software, features of behavior loyalty in deep subscriber . It is a foundation to make a reasonable marketing strategy.\",\"PeriodicalId\":205738,\"journal\":{\"name\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2012.6269453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2012.6269453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The research on the behavior loyalty model of 3G subscriber based on data mining
In this paper, the author subdivides the evaluation factors of subscriber's behavior loyalty under the guidance of the precise marketing, puts forward subscriber's behavior of 3G loyalty model, and according to the correlation analysis about all of data of 3G subscriber from a regional operator in 2010 August with SAS software, features of behavior loyalty in deep subscriber . It is a foundation to make a reasonable marketing strategy.