{"title":"知识发现与数据挖掘的分解方法-理论与应用","authors":"O. Maimon, L. Rokach","doi":"10.1142/5686","DOIUrl":null,"url":null,"abstract":"Introduction to Data Mining Decision Trees Clustering Techniques Ensemble Methods Decomposition Methodology in Data Mining Feature Set Decomposition Space Decomposition Sample Decomposition Function Decomposition Concept Decomposition Automatic Decomposition Conclusions, Advanced Issues and Open Questions.","PeriodicalId":440867,"journal":{"name":"Series in Machine Perception and Artificial Intelligence","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":"{\"title\":\"Decomposition Methodology for Knowledge Discovery and Data Mining - Theory and Applications\",\"authors\":\"O. Maimon, L. Rokach\",\"doi\":\"10.1142/5686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction to Data Mining Decision Trees Clustering Techniques Ensemble Methods Decomposition Methodology in Data Mining Feature Set Decomposition Space Decomposition Sample Decomposition Function Decomposition Concept Decomposition Automatic Decomposition Conclusions, Advanced Issues and Open Questions.\",\"PeriodicalId\":440867,\"journal\":{\"name\":\"Series in Machine Perception and Artificial Intelligence\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"83\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Series in Machine Perception and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/5686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Series in Machine Perception and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/5686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decomposition Methodology for Knowledge Discovery and Data Mining - Theory and Applications
Introduction to Data Mining Decision Trees Clustering Techniques Ensemble Methods Decomposition Methodology in Data Mining Feature Set Decomposition Space Decomposition Sample Decomposition Function Decomposition Concept Decomposition Automatic Decomposition Conclusions, Advanced Issues and Open Questions.
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