Recent Developments in Web Usage Mining Research
作者： Federico Michele Facca , Pier Luca Lanzi
DOI: 10.1007/978-3-540-45228-7_15
关键词:
摘要: Web Usage Mining is that area of which deals with the extraction interesting knowledge from logging information produced by web servers. In this paper, we present a survey recent developments in receiving increasing attention Data community.
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sci-hub.se 参考文章(55)
Osmar Zaiane, Web Usage Mining for a Better Web-Based Learning Environment ,(2001) , 10.7939/R3736M20P
Jeffrey Michael Heer, Ed H Chi, H Chi, Mining the Structure of User Activity using Cluster Stability siam international conference on data mining. ,(2002)
Daniel S. Weld, Corin Ross Anderson, Pedro Domingos, A machine learning approach to web personalization University of Washington. ,(2002)
Yi-Shin Chen, Cyrus Shahabi, Improving User Profiles for E-Commerce by Genetic Algorithms Physica, Heidelberg. pp. 215- 229 ,(2002) , 10.1007/978-3-7908-1779-9_13
Robert Walker Cooley, Jaideep Srivastava, Web usage mining: discovery and application of interesting patterns from web data University of Minnesota. ,(2000)
Michael Kaufmann, Boris Diebold, Usage-based visualization of web localities APVis '01 Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9. pp. 159- 164 ,(2001)
John H. Holland, Adaptation in natural and artificial systems ,(1992)
Arindam Banerjee, Joydeep Ghosh, Clickstream clustering using weighted longest common subsequences Proceedings of the Web Mining Workshop at the 1st SIAM Conference on Data Mining. ,(2001)
Søren E. Jespersen, Jesper Thorhauge, Torben Bach Pedersen, A Hybrid Approach to Web Usage Mining data warehousing and knowledge discovery. pp. 73- 82 ,(2002) , 10.1007/3-540-46145-0_8
Jiawei Han, Behzad Mortazavi-Asl, DISCOVERING AND MINING USER WEB-PAGE TRAVERSAL PATTERNS ,(2001)