摘要
数据挖掘作为一项从海量数据中提取知识的信息技术引起了国内外学术界和产业界的广泛关注,基于数据仓库的联机分析挖掘系统的应用已成为数据挖掘技术的发展趋势,本文结合联机分析挖掘的思想和基于目标属性关联规则挖掘算法,提出并构建了数据立方体上的基于约束的关联规则挖掘算法。最后的算例证明了该算法的有效性。
As an information technique of picking up knowledge from huge quantity of stored data, there has been an increasing focus on data mining in both academe and industry. The application of online analysis raining （OLAM） system based on DW has been the trend. In this paper an algorithrn of association rules mining based on target attribute is discussed, we present an algorithm of association rules mining with constraints base data cube which combines data mining and OLAP together. Lastly the algorithm is realized on experimental examples and is proved to be valid.
出处
《情报科学》
CSSCI
北大核心
2007年第1期129-133,160,共6页
Information Science
