摘要
简要介绍了数据挖掘基本概念和发展现状,综述了数据挖掘的任务、数据挖掘的常用方法和技术,重点介绍了数据挖掘在化学工业优化中的应用,对数据挖掘在化学工业优化应用中面临的挑战进行了总结,并对其发展趋势进行了预测。
Data mining (DM) or knowledge discovery in databases (KDD), a multi-disciplinary research area, has been recognized by many researchers as a key research topic in database and machine learning, arousing wide interest of industrial circle for its large potential application. This article briefly introduces the basic concept of data mining and its present situation, summarizing its tasks and techniques, and then focusing on its applications in chemical industry optimization for which some challenges and development have also been revealed.
出处
《江苏化工》
2004年第4期1-4,8,共5页
Jiangsu Chemical Industry
关键词
数据挖掘
知识发现
化学工业
优化
data mining
knowledge discovery in databases
chemical industry
optimization