{"title":"基于意图约简的分类规则挖掘","authors":"B. Ge, Xiangguang Meng","doi":"10.1109/ITAPP.2010.5566092","DOIUrl":null,"url":null,"abstract":"Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on classifcation rules mining based on concept lattices. By modifying incremental computation of intent reduction of concepts, it develops a method to mine affirmative classification rules and approximate classification rules using intent reduction.","PeriodicalId":116013,"journal":{"name":"2010 International Conference on Internet Technology and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classification Rules Mining Based on Intent Reduction\",\"authors\":\"B. Ge, Xiangguang Meng\",\"doi\":\"10.1109/ITAPP.2010.5566092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on classifcation rules mining based on concept lattices. By modifying incremental computation of intent reduction of concepts, it develops a method to mine affirmative classification rules and approximate classification rules using intent reduction.\",\"PeriodicalId\":116013,\"journal\":{\"name\":\"2010 International Conference on Internet Technology and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Internet Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITAPP.2010.5566092\",\"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 International Conference on Internet Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITAPP.2010.5566092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification Rules Mining Based on Intent Reduction
Concept lattice is accurate and complete in knowledge representation and is an effective tool for data analysis and knowledge discovery. This paper focuses on classifcation rules mining based on concept lattices. By modifying incremental computation of intent reduction of concepts, it develops a method to mine affirmative classification rules and approximate classification rules using intent reduction.