摘要： 数据挖掘是近年来数据库领域中出现的一个新兴研究热点。传统的数据挖掘是从大量数据中获取知识。该文基于遗传算法提出了一种新的知识获取方法─ＧＡＫＤＫ，通过对知识树的交叉变异操作，从现有规则中获取未发现的知识。

关键词: 数据挖掘, 知识挖掘, 知识树, 遗传算法

Abstract: Data mining(DM) is a new hot research point in database area. But general data mining get knowledge from large quantity of data. In this paper, we discuss a new KDD algorithm based on genetic algorithm(GA)- GAKDK. This algorithm is based on the crossover and mutation between knowledge trees. It can get undiscovered knowledge from raw rules.

中图分类号: 

• TP301.6