{"title":"一种新的适用于因果分析的加权关联规则","authors":"Zhefu Yu, Huibiao Lu, Chuanying Jia","doi":"10.1109/FGCN.2008.32","DOIUrl":null,"url":null,"abstract":"A new weighted association rule algorithm is discussed. It is based on the mining algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with low support and high confidence, and these association rules have greater significant in some application.","PeriodicalId":125089,"journal":{"name":"International Conference on Future Generation Communication and Networking","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Weighted Association Rule Suitable for Causes and Effects Analysis\",\"authors\":\"Zhefu Yu, Huibiao Lu, Chuanying Jia\",\"doi\":\"10.1109/FGCN.2008.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new weighted association rule algorithm is discussed. It is based on the mining algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with low support and high confidence, and these association rules have greater significant in some application.\",\"PeriodicalId\":125089,\"journal\":{\"name\":\"International Conference on Future Generation Communication and Networking\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Future Generation Communication and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGCN.2008.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Future Generation Communication and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGCN.2008.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Weighted Association Rule Suitable for Causes and Effects Analysis
A new weighted association rule algorithm is discussed. It is based on the mining algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with low support and high confidence, and these association rules have greater significant in some application.
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