蚁群算法在数据挖掘分类中的研究

Application Research on the classification of Data Mining Using Ant Colony Algorithm

对蚁群算法杂数据挖掘中的分类任务的应用进行了研究,算法实质上是利用蚁群觅食原理在数据库中进行搜索,对随机产生的一组规则进行选择优化,直到数据库能被该组规则覆盖,从而挖掘出隐含在数据库中的规则。

Classification is an important task in data mining, using ant foraging theory in the database search to introduce the ant algorithm classification in rules discovery,to chose and optimize a group of rules which is produced random, until the database can be covered, thereby dig the implicit rules in the database, set up the optimal classification model.