Apriori算法的分析与改进  

Apriori Algorithm Based on Posts Segmentation of Website

作　　者：黄超君[1] 范剑波[1] 

机构地区：[1]宁波工程学院,浙江宁波315000

出　　处：《宁波工程学院学报》2013年第2期64-68,78,共6页Journal of Ningbo University of Technology

基　　金：2012年度浙江省大学生科技创新活动计划(新苗人才计划)项目(2012R422005)

摘　　要：在舆论分析系统中,高效、准确地获取敏感词一直是研究的热点。由于Apriori算法能较好地挖掘出事务之间的关系,并能快速找出新的敏感词,所以探索改进的Apriori算法显的更为重要。本文分析了经典Apriori算法的不足,提出了改进的Apriori算法,优化了程序执行的效率。实验结果表明:改进后的Apriori算法的执行效率比经典Apriori算法的执行效率要高。In the public opinion analysis system, efficient and accurate accessing to sensitive word has always been the hot research issue. As Apriori algorithm can well delve into the relationship between transactions and find out the new sensitive words quickly, it is important to explore the optimized Apriori algorithm. This paper analyses the shortcomings of classic Apriori algorithm, proposes the improved Apriori algorithm to optimize the efficiency of program execution. The experimental results show that the improved Apriori algorithm is better than the classic Apriori algorithm in terms of the efficiency of program execution.

关 键 词：数据挖掘 APRIORI算法 优化 

分 类 号：O17[理学—数学]