摘要
数据丰富而知识贫乏的状况导致了数据采掘的出现，并且在短短的几年内，引起了许多不同领域的人们的极大兴趣。数据采掘的应用也变得日益广泛起来，从传统的专家系统到当前最热门的Ｉｎｔｅｒｎｅｔ服务，都需要使用数据采掘技术来适应数据库规模的不断扩大。为了对数据采掘有一个比较清楚直观的了解，本文基于知识的种类将数据采掘分成四类，并在每一类中展现了一些有代表性的和比较新的技术。
The state of data rich and knowledge poor has led to the development of data mining。In recent years,researches in many different fields have shown great interest in data mining。The application of data mining has also kept growing rapidly including tranditional expert system and the hottest Internet services which need the techniques of data mining to adapt the explosion of databases。This article is to provide a perspicuous and direct survey on the data mining techniques from four classifictions based on the kinds of knowledge.
出处
《小型微型计算机系统》
CSCD
北大核心
1998年第4期74-81,共8页
Journal of Chinese Computer Systems
关键词
数据采掘
知识发现
数据库
Data Mining,Knowledge discovery,Association rule,Classification,Data clustering,Sequence matching
