摘要
关联规则的提取是数据挖掘中的重要研究内容,对关联规则提取中的Apriori算法进行了分析与研究,针对该算法的运算效率不高,对该算法进行了优化。该算法以经典的Apriori算法为基础,改进后的算法在运算速度明显好于Apriori算法。同时,还介绍了一种基于Apriori算法的可视化挖掘模型[1],并讨论了该可视化模型的实现方法。
Mining association rules are an important topic in the data mining field. The Apriori algorithm in mining association rules are studied and an improved effective algorithm is presented. This algorithm is based on classical Apriori algorithm. The improved algorithm has an outstanding performance over the original. Meantimes a visualizing data-mining model is introduced based on Apriori algorithm, and the implementation method of visual model is discussed.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第4期757-759,共3页
Computer Engineering and Design
