Title :
Research Of Distributed Web Interest Conversion Pattern Mining
Author :
Kejun, Zhang ; Geng, Zhao ; Boqun, Li ; Zuo, Chen
Author_Institution :
Beijing Electron. Sci. & Technol. Inst., Beijing
fDate :
May 30 2007-June 1 2007
Abstract :
In this paper, we propose a distributed Web log mining system model based on Web text (DWLMST). It is presented that the more general incremental updating algorithms of local interest conversion patterns (LICP) and global interest conversion patterns (GICP) in a distributed database system based on DWLMST for discovering the user interest conversion patterns. The algorithms better solve troubles which are made by the real time incremental distributed Web access information and the more communication number. Finally, the method is realized simply and tested with real world Web logs information. The results show that the algorithms are valid.
Keywords :
Internet; data mining; distributed databases; text analysis; distributed Web log mining system; distributed database system; global interest conversion pattern mining; incremental updating algorithm; local interest conversion pattern mining; pattern discovery; text mining; Automatic control; Automation; Clustering algorithms; Computer science; Data analysis; Data mining; Database systems; Graphical user interfaces; Testing; Web pages; Distributed data mining; Web Log mining; Web usage mining; access path analysis;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376677
