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一种适用于Web日志挖掘的关联规则发现算法

AN ASSOCIATION RULE DISCOVERY ALGORITHM APPLICABLE TO WEB LOG MINING

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【作者】 栾汝朋张倩张峻峰于峰刘新

【Author】 Luan Rupeng Zhang Qian* Zhang Junfeng Yu Feng Liu Xin(Institute of Agricultural Scientech Information,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China)

【机构】 北京市农林科学院农业科技信息研究所

【摘要】 Apriori算法是一种经典的关联规则发现算法。针对Web日志挖掘的特点,在Apriori算法基础上给出一种适用于动态事务数据库挖掘的关联规则发现算法,并对比该算法与Apriori算法的区别。将该算法应用到网站的日志挖掘中,实验证明该算法的性能较原算法有一定的提高。

【Abstract】 Apriori algorithm is one of the classic association rule discovery algorithm.According to the features of Web log mining,a kind of association rule discovery algorithm is given,which is suitable for dynamic transaction database mining and is based on Apriori algorithm.And the difference between this algorithm and the Apriori algorithm is compared.This algorithm has been applied to Web log mining as well,and the experiments also prove that the performance of this algorithm is improved to some extent than the original algorithm.

【基金】 北京市农林科学院农业科技信息研究所创新发展基金项目
  • 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2013年01期
  • 【分类号】TP311.13
  • 【被引频次】19
  • 【下载频次】321
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