摘要
Apriori算法是一种最有影响的挖掘布尔关联规则频繁项集的算法。为了提高算法的效率,国内外数据挖掘领域的专家、提出了一系列的改进策略。文章首先分析了Apriori算法及当前主要的改进算法,其次比较了这些算法的改进策略及其局限性,最后在此基础上提出了Apriori算法的未来研究方向。
Apriori algorithm is one of the most influential algorithms for mining Boolean association rules frequent pattern.In order to improve the efficiency of algorithm, domestic and foreign experts in the field of data mining put forward a series of improvement strategies.The article first analyzes the Apriori algorithm and the current improvement of the main algorithm, followed by comparison of these algorithms to improve the strategy and its limitations, finally prospects development trends of algorithms of Apriori.
出处
《微计算机信息》
2010年第9期159-160,158,共3页
Control & Automation
基金
基金申请人:戴小廷
项目名称:关联规则挖掘中寻找频繁项集算法的优化与应用研究
基金颁发部门:福建省教育厅(JA08162)(2008年A类科技项目)