{"title":"The application of data mining in the classification of spam messages","authors":"Guoxiang Liu, Fengxia Yang","doi":"10.1109/CSIP.2012.6309104","DOIUrl":null,"url":null,"abstract":"Spam messages in mobile phone flooded and the management to it was not effective. The paper analyzes the characteristics of spam messages, its forming reason and its harm, discusses the classification method of filtering spam messages, and points out it is the key work of the researchers to develop the more effective classification method.","PeriodicalId":193335,"journal":{"name":"2012 International Conference on Computer Science and Information Processing (CSIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Computer Science and Information Processing (CSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIP.2012.6309104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Spam messages in mobile phone flooded and the management to it was not effective. The paper analyzes the characteristics of spam messages, its forming reason and its harm, discusses the classification method of filtering spam messages, and points out it is the key work of the researchers to develop the more effective classification method.