WestminsterResearch

A complete framework for Web mining

Tseng, Andy and Petrounias, Ilias and Chountas, Panagiotis (2003) A complete framework for Web mining. In: IEEE International Conference on Systems, Man and Cybernetics, 2003. IEEE, Los Alamitos, USA, pp. 868-873. ISBN 0780379527

[img]
Preview
PDF
358Kb

Official URL: http://dx.doi.org/10.1109/ICSMC.2003.1243924

Abstract

With the rapid growing number of WWW users, hidden information becomes ever increasingly valuable. As a consequence of this phenomenon, mining Web data and analysing on-line users' behaviour and their on-line traversal pattern have emerged as a new area of research. Primarily based on the Web servers' log files, the main objective of traversal pattern mining is to discover the frequent patterns in users' browsing paths and behaviors. This paper presents a complete framework for Web mining, allowing users to pre-define physical constraints when analysing complex traversal patterns in order to improve the efficiency of algorithms and offer flexibility in producing the results.

Item Type:Book Section
Uncontrolled Keywords:Internet, data mining, file servers, WWW, Web data mining, Web servers log files, World Wide Web, hidden information, online traversal pattern, online users behaviour, traversal pattern mining, users browsing paths
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:3596
Deposited On:28 Feb 2007
Last Modified:11 Aug 2010 15:31

Repository Staff Only: item control page