数据挖掘技术在电子商务中的应用

Data Mining Research Applications in E-commerce

对于企业而言,数据挖掘有助于发现业务发展的趋势,帮助企业做出正确的决策,使企业处于更有利的竞争位置。数据挖掘中应用的技术包括经典的统计、邻近、聚类,也包括最新发展起来的决策树、神经网络和关联规则等一些较新的方法。当实际开发一个数据挖掘系统时,究竟应该选择哪种数据挖掘技术,往往是一件很困难的事情。本文结合数据挖掘技术在电子商务中的应用,提出选择数据挖掘技术的两个重要依据,以便开发出有效、实用的数据挖掘系统。

Says regarding the enterprise, the data mining is helpful to the discovery service development tendency, helps the enterprise to make the correct decision - making, causes the enterprise to be in the more advantageous competition position. In the data mining the application technology including the classics statistics,the close neighbor, gathers the kind, also includes the most recent development decision - making tree, the nerve network and the connection rule and so on some new method. When actual develops a data mining system,actually should choose which kind of data mining technology, often is a very difficult matter. This article unifies the data mining technology in the electronic commerce application, Proposes the choice data mining technology two important bases, in order to effectively develops, the practical data mining system.