一种基于遗传算法的知识发现算法

计算机工程 Pub Date : 2000-06-28 DOI:10.1109/WCICA.2000.860029

Liu Mingji, W. Xiufeng, Wang Zhibao, Huang Ya-lou

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引用次数: 1

摘要

数据挖掘是数据库领域的一个新的研究热点。然而，一般来说，数据挖掘是从大量的数据中获取知识的。本文讨论了一种新的基于遗传算法的从数据库中发现知识的算法，称为GAKDK (genetic algorithm based knowledge discovery from knowledge)。该算法基于知识树之间的交叉和变异。它可以从原始规则中检索未发现的知识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A knowledge discovery algorithm based on genetic algorithm

Data mining is a new hot research subject in the database field. However, in general, data mining acquires knowledge from large quantities of data. In this paper, we discuss a new knowledge discovery from database algorithm based on genetic algorithm, called GAKDK (genetic algorithm based knowledge discovery from knowledge). This algorithm is based on the crossover and mutation between knowledge trees. It can retrieve undiscovered knowledge from raw rules.

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