{"title":"基于数据挖掘的移动广播热点数据研究","authors":"Qiu Lu, Xiao-hui Cheng","doi":"10.1109/WISA.2010.11","DOIUrl":null,"url":null,"abstract":"Mobile computing is becoming a popular computing method. Data broadcasting, an effective data accessing method, is an important technique to improve the scalability. And hotspot data is the key of data broadcasting. In this article, based on the discovery of hotspot data, the ID3 algorithm with multi-value bias has been improved. A data broadcasting algorithm based on improved NewDtree has been introduced with its improvement proved through experiments.","PeriodicalId":122827,"journal":{"name":"2010 Seventh Web Information Systems and Applications Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Hotspot Data in Mobile Broadcasting Based on Data Mining\",\"authors\":\"Qiu Lu, Xiao-hui Cheng\",\"doi\":\"10.1109/WISA.2010.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile computing is becoming a popular computing method. Data broadcasting, an effective data accessing method, is an important technique to improve the scalability. And hotspot data is the key of data broadcasting. In this article, based on the discovery of hotspot data, the ID3 algorithm with multi-value bias has been improved. A data broadcasting algorithm based on improved NewDtree has been introduced with its improvement proved through experiments.\",\"PeriodicalId\":122827,\"journal\":{\"name\":\"2010 Seventh Web Information Systems and Applications Conference\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Seventh Web Information Systems and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISA.2010.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Seventh Web Information Systems and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2010.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Hotspot Data in Mobile Broadcasting Based on Data Mining
Mobile computing is becoming a popular computing method. Data broadcasting, an effective data accessing method, is an important technique to improve the scalability. And hotspot data is the key of data broadcasting. In this article, based on the discovery of hotspot data, the ID3 algorithm with multi-value bias has been improved. A data broadcasting algorithm based on improved NewDtree has been introduced with its improvement proved through experiments.