{"title":"基于兴趣测度的Apriori算法分析","authors":"Jingyao Hu","doi":"10.1109/ICCECT.2012.185","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved algorithm to overtime the abuses that the Apriori algorithm has. The algorithm improves the readability of the strong association rules by increasing interest items and constructing the model of the interest. The experimental results show that the algorithm can effectively increase the operation speed, reduce the set of candidates, enhance the efficiency of the algorithm.","PeriodicalId":153613,"journal":{"name":"2012 International Conference on Control Engineering and Communication Technology","volume":" 20","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Analysis on Apriori Algorithm Based on Interest Measure\",\"authors\":\"Jingyao Hu\",\"doi\":\"10.1109/ICCECT.2012.185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved algorithm to overtime the abuses that the Apriori algorithm has. The algorithm improves the readability of the strong association rules by increasing interest items and constructing the model of the interest. The experimental results show that the algorithm can effectively increase the operation speed, reduce the set of candidates, enhance the efficiency of the algorithm.\",\"PeriodicalId\":153613,\"journal\":{\"name\":\"2012 International Conference on Control Engineering and Communication Technology\",\"volume\":\" 20\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Control Engineering and Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCECT.2012.185\",\"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 International Conference on Control Engineering and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCECT.2012.185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Analysis on Apriori Algorithm Based on Interest Measure
This paper proposes an improved algorithm to overtime the abuses that the Apriori algorithm has. The algorithm improves the readability of the strong association rules by increasing interest items and constructing the model of the interest. The experimental results show that the algorithm can effectively increase the operation speed, reduce the set of candidates, enhance the efficiency of the algorithm.