摘要
数据挖掘是基于数据仓库的知识发现技术,当数据仓库数据海量时,进行穷举搜索是不可行的,必须采取一种有效的搜索策略。遗传算法不仅具有很好的全局搜索能力,同时它能较好的处理数据库中不同属性之间的相互关系。该文论述了如何把遗传算法应用于数据挖掘领域。
Data mining is the knowledge discovery technology based on data warehouse. When the data warehouse capacity is very huge, carrying on exhaustive search is not viable, so must adopt a kind of valid search strategy. The genetic algorithm not only has the good overall search ability, but also can deal with the relationship between attributes in database. The dissertation discuses how to use genetic al- gorithm in the realm of data mining.
出处
《电脑知识与技术》
2009年第1X期696-697,702,共3页
Computer Knowledge and Technology
关键词
数据挖掘
关联规则
遗传算法
data mining
association rule
inheritance algorithm