摘要
Web数据挖掘是数据挖掘技术与Web相结合的1项综合技术,是对WWW资源进行挖掘的1个新兴的研究领域,它为搜索引擎的个性化提供了技术支持。本文对相联规则的粗熵挖掘算法和双重聚类算法进行了研究,在传统搜索引擎的基础上,利用Web数据挖掘技术设计了1个个性化的搜索引擎,可按用户的喜好为他们提供感兴趣的网页。
Web data mining is a comprehensive technology which is the combination of data mining technology and Web,is a new domain of mining the WWW resources,provides technical support for search engines＇ personality.This paper studies the association rule rough entropy mining algorithm and double clustering algorithm,designs a personalized search engine which is based on the traditional search engine.This personalized search engine uses Web data mining technology,can provide the users with web pages which they interest in according to their interest.
出处
《内蒙古农业大学学报（自然科学版）》
北大核心
2009年第4期223-226,共4页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
