Title :
Research on T-bridge Algorithm of Web Session Fuzzy Clustering
Author :
Zhao, Zixiang ; Bai, Kun
Author_Institution :
Dept. of Inf. Sci. & Technol., Da Lian Maritime Univ., Dalian
Abstract :
Clustering Web session is an important aspect of Web usage mining. In this paper, we propose a new algorithm of Web session fuzzy clustering, which applies the t-bridge algorithm to fuzzy equivalence matrix clustering algorithm. This algorithm is proved to have better accuracy, fewer CPU time and better scalability than others by the experiments.
Keywords :
Internet; data mining; fuzzy set theory; matrix algebra; pattern clustering; Web session fuzzy clustering; Web usage mining; clustering Web session; fuzzy equivalence matrix clustering algorithm; t-bridge algorithm; Clustering algorithms; Clustering methods; Data mining; History; Information science; Navigation; Parallel processing; Scalability; Web pages; Web server; Web session; fuzzy clustering; t-bridge algorithm;
Conference_Titel :
Network and Parallel Computing, 2008. NPC 2008. IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3354-4
DOI :
10.1109/NPC.2008.93
