知识发现与数据挖掘的分解方法-理论与应用

O. Maimon, L. Rokach
{"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}
引用次数: 83

摘要

数据挖掘导论决策树聚类技术集成方法数据挖掘中的分解方法特征集分解空间分解样本分解函数分解概念分解自动分解结论、高级问题和未决问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信