【作者】 冯建华； 赖辉旻； 周立柱； 陆玉昌；

【机构】 清华大学计算机科学与技术系；

【摘要】 <正>1引言1.1什么是KDD数据库知识发现(KDD:Knowledge Discoveryin Database)是当今数据库和人工智能领域研究的热点。当KDD这个术语首次在1989年8月于美国底特律召开的第11届国际人更多还原

【Abstract】 The process of KDD includes data preparation,data mining,and the evaluation of results. Currently,data mining,the area into which most of researchers plunge,is the core of KDD.Although data preparation is the base of KDD,and almost 80 percent of the effort required for KDD are spent here,hardly any researchers give their attention to it.Drawing our inspiration from the Apriori algorithm for mining association rules,we compress the target data lengthways with large one itemsets （L₁^①） during the process of preparing data for mining association rules,so that attributes used to represent transactions in the database are reduced.In this paper an example to illustrate how to reduce the number of attributes is also given.更多还原