Like knowledge discovery in artificial intelligence, data mining attempts to discover statistical rules and patterns automatically from data. 与人工智能中的知识发现(KD)类似,数据挖掘试图自动从数据中发现统计规则和模式。
Rough set theory is an approach to imprecision, vagueness, and incompleteness in classification analysis and knowledge discovery. 粗糙集理论在不精确、不确定和不完全信息的分类分析和知识获取中具有突出的优势。
This thesis mainly deals with the basic theory and technology of knowledge discovery based on concept lattice. 本文主要研究概念格的基本理论和基于概念格的知识发现(KD)。
Data mining, also known as knowledge discovery in databases. 数据采掘,也称数据库中的知识发现(KD)。
Knowledge discovery process in database is to formalize the knowledge contained in the database into a useful concept. 数据库知识发现(KD)的过程就是将数据库中蕴含的知识形式化为有用概念的过程。