{"title":"计算动态约简的研究","authors":"Jia-yang Wang, L. Deng, Chen Zhang","doi":"10.1109/GrC.2012.6468592","DOIUrl":null,"url":null,"abstract":"The mass dataset based on static reduct concludes large instability. A new thought is provided by dynamic reduct. The thought of dynamic reduct is described, its subtable extracting problem is analyzed in detail, and the shortage is pointed out. A new algorithm is given to calculate the size of the dynamic reduct subtable family, and some parameters are also presented to evaluate the dynamic reduct sampling family.","PeriodicalId":126161,"journal":{"name":"IEEE International Conference on Granular Computing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The research on computing dynamic reduct\",\"authors\":\"Jia-yang Wang, L. Deng, Chen Zhang\",\"doi\":\"10.1109/GrC.2012.6468592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The mass dataset based on static reduct concludes large instability. A new thought is provided by dynamic reduct. The thought of dynamic reduct is described, its subtable extracting problem is analyzed in detail, and the shortage is pointed out. A new algorithm is given to calculate the size of the dynamic reduct subtable family, and some parameters are also presented to evaluate the dynamic reduct sampling family.\",\"PeriodicalId\":126161,\"journal\":{\"name\":\"IEEE International Conference on Granular Computing\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GrC.2012.6468592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GrC.2012.6468592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The mass dataset based on static reduct concludes large instability. A new thought is provided by dynamic reduct. The thought of dynamic reduct is described, its subtable extracting problem is analyzed in detail, and the shortage is pointed out. A new algorithm is given to calculate the size of the dynamic reduct subtable family, and some parameters are also presented to evaluate the dynamic reduct sampling family.
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