Association rule mining for web usage data to improve websites

著录项

• 来源
  《2014 International Conference on Advances in Engineering and Technology Research》|2014年|1-6|共6页
• 会议地点 Unnao (IN)
• 作者

  Singh A.K.; Kumar Ajit; Maurya Ajay Kumar;

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• 作者单位

  Fac. of Comput. Sci. Eng., Shri Ramswaroop Memorial Univ., Rasara, India;

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• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Web sites; data analysis; data mining; Web site improvement; Web usage data; association rule mining; data accuracy; data mining; frequent rule mining algorithm; interestingness measure; k-itemset; performance analysis; rule data sets; transactional knowledge; Algorithm design and analysis; Association rules; Conferences; Databases; Knowledge engineering; Navigation; Apriori Algorithm; Association Rules; Confidence; Frequent Pattern; Lift; Support Count;

  机译：网站;数据分析;数据挖掘;网站改进;网站使用数据;关联规则挖掘;数据准确性;数据挖掘;频繁规则挖掘算法;兴趣度度量; k-项目集;性能分析;规则数据集;交易知识;算法设计与分析;关联规则;会议;数据库;知识工程;导航; Apriori算法;关联规则;置信度;频繁​​模式;提升;支持计数;;