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基于多深度概念树与遗传算法的数据挖掘技术研究
引用本文:张廷香,时念云.基于多深度概念树与遗传算法的数据挖掘技术研究[J].微计算机应用,2005,26(5):530-533.
作者姓名:张廷香  时念云
作者单位:[1]胜利油田物探院科技情报室,山东257000 [2]石油大学华东东营,山东257000
摘    要:在改进传统意义上的概念树的基础上,提出构建多深度概念树的思想。并发挥遗传算法的优势,进行多深度数据挖掘,可以同时得到针对某一类产品销售与进货的规则。这在非自选式(非超市型)商品(需专家经验)的销售行业有着良好的应用前景。

关 键 词:多深度概念树  遗传算法  多深度数据挖掘  销售与进货的规则  数据挖掘技术  概念树  产品销售  专家经验
收稿时间:2004-10-12
修稿时间:2004-10-12

The Research of Data Mining Technology Based on the Multi-depth Concept Tree and GA
ZHANG Tingxiang, SHI Nianyun.The Research of Data Mining Technology Based on the Multi-depth Concept Tree and GA[J].Microcomputer Applications,2005,26(5):530-533.
Authors:ZHANG Tingxiang  SHI Nianyun
Affiliation:Geophysical Research Institute Sheagli Oilfield, University of Petroleum Dongying; Shandong, 257000, China
Abstract:The research of CRM has been very developed, but people haven't paid more attention to the sale and stock rules of some singleness products. After improving the traditional concept tree, this paper develops an idea of constructing a multi-depth tree. And exerts the advantages of GA, makes a multi-depth data mining, then obtains the rules of sale and stock at the same time.
Keywords:Multi--depth concept tree  GA  Multi depth DM  Rules of sale and stock
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