Title :
A design for architecture model of Web Access Patterns Mining system
Author :
Zhu, Zhiguo ; Kong, Liping
Author_Institution :
Kingbridge Bus. Coll., Dongbei Univ. of Finance & Econ., Dalian, China
Abstract :
Web Access Pattern Mining (WAPM) technology can automatically discover such knowledge as users´ access preferences, interests and trends etc from log files of web server or browser. It has gradually been one of hot topics in the web mining. Firstly, this paper presents a full general architecture model of WAPM system and introduces the work principles of main parts in this system. On the basis, many new advances of major steps in WAPM are elaborated and analyzed, including data collection, data preprocessing, patterns discovering and visualization interface. Finally, some future important works on research field of WAPM are given.
Keywords :
Internet; data mining; pattern matching; relevance feedback; user modelling; Web access patterns mining system; data collection; data preprocessing; patterns discovering; visualization interface; web browser; web server; Bayesian methods; Business; Cleaning; Visualization; Data Mining; User Modeling; Web Access Pattern Mining; Web Mining;
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5544383
