基于粒度进化计算的KDD技术分析

Analysis on Technology of KDD Based on Granular Evolutionary Computation

知识发现(KDD,Knowledge Discovery in Databases)是从数据中获取知识的一种智能信息处理技术。从分析进化计算的产生根源入手,探讨了以人类进化为核心的文化进化机制,提出粒度进化的两个层次群进化和超群进化,并将两者有机结合。文中在深入研究现有的知识发现的基础上,对"发现用户感兴趣的知识"、提高分类效率和准确性等问题进行了研究,提出了部分解决方法和思路。

KDD, Knowledge Discovery in Database, is a technology of intelligent information processing for knowledge discovery in database. Beginning with origin of Evolutionary Computation, characteristic of culture evolution is probed into, and Granular Evolution which consists of Population Evolution and Super - Population Evolution. After the comprehensive overview of existing methods, some problems including ＂discovery of interesting knowledge＂, efficiency and accuracy are studied, and related methods are put forward.