A process of knowledge discovery from web log data: Systematization and critical review

Authors: Pabarskaite, Zidrina¹; Raudys, Aistis²

Source: Journal of Intelligent Information Systems, Volume 28, Number 1, February 2007 , pp. 79-104(26)

Publisher: Springer

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Abstract:

This paper presents a comprehensive survey of web log/usage mining based on over 100 research papers. This is the first survey dedicated exclusively to web log/usage mining. The paper identifies several web log mining sub-topics including specific ones such as data cleaning, user and session identification. Each sub-topic is explained, weaknesses and strong points are discussed and possible solutions are presented. The paper describes examples of web log mining and lists some major web log mining software packages.

Keywords: Web log mining; Web usage; Personalisation; Survey; Data pre-processing

Document Type: Research article

DOI: http://dx.doi.org/10.1007/s10844-006-0004-1

Affiliations: 1: Email: zidrina@pabarska.com 2: Email: aistis@raudys.com

Publication date: 2007-02-01