Analysis of Web Log Data Mining based on Improved Fuzzy Clustering Algorithm

摘要：

　　Fuzzy clustering analysis is a clustering algorithm based on function best practices,technology and optimal cost function using calculus.Fuzzy clustering,each sample is no longer belong to a class,but belong to a certain degree of membership of each class.In this paper,Web log sequential pattern mining knowledge gained,and visitors have the same browsing mode access to cutting the interaction of users with the Web information space.The paper presents analysis of Web log data mining based on improved fuzzy clustering algorithm.The experiment demonstrates the improved algorithm has better scalability.

关键词： Fuzzy clustering analysis Data mining Web mining

作者: Chuanqi Chen

作者单位: Qingyuan Polytechnic,Qingyuan,511510,Guangdong,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1704-1709

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）