{"title":"基于航空运输的关联规则快速发现应用研究","authors":"Jiang Hong-bo, Yang De-li","doi":"10.1109/ICSSSM.2007.4280165","DOIUrl":null,"url":null,"abstract":"In this paper the popular Apriori algorithm and its improvements were introduced and a great many complex data in air transportation were used to fast discover the association rules. For too many rules are produced in the traditional association rules and the Apriori algorithm is not used widely, this paper chooses the improvement algorithm to prune redundant rules based on traditional association rules, which simplifies the rules and overcomes the disadvantages of traditional association rules, like the redundant rules and difficult application.","PeriodicalId":153603,"journal":{"name":"2007 International Conference on Service Systems and Service Management","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Application Research on Fast Discovery of Association Rules Based on Air Transportation\",\"authors\":\"Jiang Hong-bo, Yang De-li\",\"doi\":\"10.1109/ICSSSM.2007.4280165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the popular Apriori algorithm and its improvements were introduced and a great many complex data in air transportation were used to fast discover the association rules. For too many rules are produced in the traditional association rules and the Apriori algorithm is not used widely, this paper chooses the improvement algorithm to prune redundant rules based on traditional association rules, which simplifies the rules and overcomes the disadvantages of traditional association rules, like the redundant rules and difficult application.\",\"PeriodicalId\":153603,\"journal\":{\"name\":\"2007 International Conference on Service Systems and Service Management\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2007.4280165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2007.4280165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Research on Fast Discovery of Association Rules Based on Air Transportation
In this paper the popular Apriori algorithm and its improvements were introduced and a great many complex data in air transportation were used to fast discover the association rules. For too many rules are produced in the traditional association rules and the Apriori algorithm is not used widely, this paper chooses the improvement algorithm to prune redundant rules based on traditional association rules, which simplifies the rules and overcomes the disadvantages of traditional association rules, like the redundant rules and difficult application.