资料下载
×
基于改进ID3 的分类规则挖掘研究
消耗积分:2 |
格式:rar |
大小:136 |
2009-06-11
敷衍作笑谈
分享资料个
在数据挖掘基础理论基础上,以分类挖掘技术在客户关系管理中的应用为例,对近年来
在智能信息处理领域迅速发展的改进ID3 算法进行了数据挖掘的尝试,得到了与实际经验相符的结果和相应的“规则”,验证了其可行性和可供决策支持的现实意义。
关键词：算法；发现技术；数据挖掘；决策树
Abstract: Base on Theories of Data Mining, in order to classification of mining technology in the customer relationship management application as an example, Carried on the trial that data scoop out in recent years in the field of access to the rapid development of ID3 data mining and its improved methods of data mining attempts have been in line with the actual experience of the results and the corresponding “rules”to verify its feasibility and decision support for practical significance.
Key words: Algorithm；Discovery Technolog； Data Minin；Decision Tree
在智能信息处理领域迅速发展的改进ID3 算法进行了数据挖掘的尝试,得到了与实际经验相符的结果和相应的“规则”,验证了其可行性和可供决策支持的现实意义。
关键词：算法；发现技术；数据挖掘；决策树
Abstract: Base on Theories of Data Mining, in order to classification of mining technology in the customer relationship management application as an example, Carried on the trial that data scoop out in recent years in the field of access to the rapid development of ID3 data mining and its improved methods of data mining attempts have been in line with the actual experience of the results and the corresponding “rules”to verify its feasibility and decision support for practical significance.
Key words: Algorithm；Discovery Technolog； Data Minin；Decision Tree
声明：本文内容及配图由入驻作者撰写或者入驻合作网站授权转载。文章观点仅代表作者本人，不代表电子发烧友网立场。文章及其配图仅供工程师学习之用，如有内容侵权或者其他违规问题，请联系本站处理。 举报投诉
评论(0)
发评论
- 相关下载
- 相关文章
