%0 Journal Article
%T Survey of the Data Mining Techniques<br>数据挖掘技术
%A JI Gen lin
%A SUN Zhi hui
%A <br>吉根林
%A 孙志挥
%J 中国图象图形学报
%D 2001
%I 
%X Data mining is an emerging research field in database and artificial intelligence. In this paper, the data mining techniques are introduced broadly including its producing background, its application and its classification. The principal techniques used in the data mining are surveyed also, which include rule induction, decision tree, artificial neural network, genetic algorithm, fuzzy technique, rough set and visualization technique. Association rule mining, classification rule mining, outlier mining and clustering method are discussed in detail. The research achievements in association rule, the shortcomings of association rule measure standards and its improvement, the evaluation methods of classification rules are presented. Existing outlier mining approaches are introduced which include outlier mining approach based on statistics, distance|based outler mining approach, data detection method for deviation, rule|based outlier mining approach and multi|strategy method. Finally, the applications of data mining to science research, financial investment, market, insurance, manufacturing industry and communication network management are introduced. The application prospects of data mining are described.
%K Data mining
%K Decision support
%K Association rule
%K Classification rule
%K KDD<br>数据挖掘
%K 决策支持
%K 关联规则
%K 分类规则
%K KDD
%K 知识发现
%K 数据库
%K 人工智能
%K 聚类分析
%K 离群数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2AAD3C1530EE83A6&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=5D311CA918CA9A03&sid=EB8E83807F36F05B&eid=569BDAA4FEA0F7F9&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=12&reference_num=27