Effectiveness of Web Usage Mining Techniques in Business Application

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Author(s): Ahmed El Azab (Institute of Statistical Studies and Research, Egypt), Mahmood A. Mahmood (Institute of Statistical Studies and Research, Egypt)and Abd El-Aziz (Institute of Statistical Studies and Research, Egypt)
Copyright: 2017
Pages: 27
Source title: Web Usage Mining Techniques and Applications Across Industries
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-5225-0613-3.ch013

Keywords: Computer Science & IT / Data Mining and Databases / Information Science Reference / Web Technologies & Engineering

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Abstract

Web usage mining techniques and applications across industries is still exploratory and, despite an increase in academic research, there are challenge of analyze web which quantitatively capture web users' common interests and characterize their underlying tasks. This chapter addresses the problem of how to support web usage mining techniques and applications across industries by combining language of web pages and algorithms that used in web data mining. Existing research in web usage mining techniques tend to focus on finding out how each techniques can apply in different industries fields. However, there is little evidence that researchers have approached the issue of web usage mining across industries. Consequently, the aim of this chapter is to provide an overview of how the web usage mining techniques and applications across industries can be supported.

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Effectiveness of Web Usage Mining Techniques in Business Application

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