企业智能化Web商务数据挖掘引擎算法设计与实现  

Designing and implementing algorithms of web data mining engine for enterprise

作　　者：闫建红[1] 

机构地区：[1]太原师范学院计算机系,山西太原030012

出　　处：《计算机工程与设计》2007年第4期926-928,932,共4页Computer Engineering and Design

摘　　要：针对现有的数据挖掘引擎难以满足企业不断增长的需求的问题,在传统搜索引擎的基础上提出了一种企业专用的智能化Web商务数据挖掘引擎。从总体上给出了模型框架,得出企业智能化Web商务数据挖掘引擎是一个基于多模型的系统的结论。接着分别详细研究了该引擎的:Web内容挖掘、Web信息获取、客户行为挖掘3个核心模块。Considering the present data mining engine can＇t meet enterprises＇ needs, an enterprise-special intelligentized web data mining engine is proposed based on traditional search engine. At first, a model framework as a whole is put forward, and the conclusion that web data mining engine is a system based on multi-models is drawn. Then, the web data mining engine is analyzed in three core modules that is web content mining, web information obtaining and client＇s behavior mining. At last, the three modules＇ algorithm design and implementation course are brought forward in detail.

关 键 词：WEB数据挖掘 客户行为挖掘 潜在语义模型 HITS算法 遗传算法 聚类分析 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]