{"title":"一种基于粗糙集理论的数据挖掘算法","authors":"Chunlai Zhou, Zhigang Li, Y. Meng, Qinglong Meng","doi":"10.1109/ICIA.2004.1373402","DOIUrl":null,"url":null,"abstract":"In this paper, a data mining algorithm based on rough set theory (RS) is discussed, which is used to extract decision-making rule from data set. The basic concepts of RS are introduced and used in the algorithm. An example that uses the algorithm to acquire designing rule from the knowledge database of relay expert system is discussed in the paper.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A data mining algorithm based on rough set theory\",\"authors\":\"Chunlai Zhou, Zhigang Li, Y. Meng, Qinglong Meng\",\"doi\":\"10.1109/ICIA.2004.1373402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a data mining algorithm based on rough set theory (RS) is discussed, which is used to extract decision-making rule from data set. The basic concepts of RS are introduced and used in the algorithm. An example that uses the algorithm to acquire designing rule from the knowledge database of relay expert system is discussed in the paper.\",\"PeriodicalId\":297178,\"journal\":{\"name\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2004.1373402\",\"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 Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a data mining algorithm based on rough set theory (RS) is discussed, which is used to extract decision-making rule from data set. The basic concepts of RS are introduced and used in the algorithm. An example that uses the algorithm to acquire designing rule from the knowledge database of relay expert system is discussed in the paper.