摘要
计算机网络发展迅速,网络数据挖掘已经成为一个重要的研究领域。网络数据分布范围广,数据量大,结构多样,时间跨度高。如何对这些海量数据进行高效查询成为研究人员关注的问题。遗传算法在搜索的过程中采用群体搜索方式,有利于得到最优查询结果。在数据查询、查询优化和分布式数据挖掘等方面使用遗传算法,能够从不同角度大大提高查询效果。
With the continued increase in the usage of the World Wide Web (WWW), Web mining has been established as an important area of research. The information in the WWW are instructed and distributed on numerous Web Servers over wide geographical regions. How to optimize query among the huge data has become a problem. Genetic algorithms (GA) are seen to be useful for prediction and description, efficient search, and complex objective functions in the dynamic and complex environments of the web.
作者
王昕昕
WANG Xin-xin (School of Software, MinJiang University, Fuzhou 350011, China)
出处
《电脑知识与技术》
2010年第01Z期385-387,共3页
Computer Knowledge and Technology
关键词
网络数据挖掘
遗传算法
查询优化
web data mining
genetic algorithm
query optimization