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

Volume

2

fYear

2010

fDate

12-13 June 2010

Firstpage

288

Lastpage

292

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6944-4

Type

conf

DOI

10.1109/CCTAE.2010.5544383

Filename

5544383