Session identification techniques used in web usage mining

Bahjat Fatima (Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan)
Huma Ramzan (Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan)
Sohail Asghar (Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan)

Online Information Review

ISSN: 1468-4527

Publication date: 14 November 2016

Abstract

Purpose

The purpose of this paper is to critically analyze the state-of-the-art session identification techniques used in web usage mining (WUM) process in terms of their limitations, features, and methodologies.

Design/methodology/approach

In this research, systematic literature review has been conducted using review protocol approach. The methodology consisted of a comprehensive search for relevant literature over the period of 2005-2015, using four online database repositories (i.e. IEEE, Springer, ACM Digital Library, and ScienceDirect).

Findings

The findings revealed that this research area is still immature and existing literature lacks the critical review of recent session identification techniques used in WUM process.

Originality/value

The contribution of this study is to provide a structured overview of the research developments, to critically review the existing session identification techniques, highlight their limitations and associated challenges and identify areas where further improvements are required so as to complement the performance of existing techniques.

Keywords

Citation

Bahjat Fatima, Huma Ramzan and Sohail Asghar (2016) "Session identification techniques used in web usage mining", Online Information Review, Vol. 40 No. 7, pp. 1033-1053

Download as .RIS

DOI

: https://doi.org/10.1108/OIR-08-2015-0274

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.