{"title":"The Datamining Algorithm on Knowledge Dependence","authors":"Mingfeng Ye","doi":"10.1109/ICSGEA.2018.00065","DOIUrl":null,"url":null,"abstract":"This paper researches the method of attribute reduction based on rough set theory, this method can find the more effective attributes for decision support. Above that, this paper gives the datamining algorithm on knowledge dependence, this algorithm can yield a decision tree which puts forward more effective decision support information. This algorithm is practical for a single decision information system.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper researches the method of attribute reduction based on rough set theory, this method can find the more effective attributes for decision support. Above that, this paper gives the datamining algorithm on knowledge dependence, this algorithm can yield a decision tree which puts forward more effective decision support information. This algorithm is practical for a single decision information system.