Methodologies and Techniques of Web Usage Mining

View Sample PDF

Author(s): T. Venkat Narayana Rao (Sreenidhi Institute of Science and Technology, India)and D. Hiranmayi (Sreenidhi Institute of Science and Technology, India)
Copyright: 2017
Pages: 22
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.ch011

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

Purchase

View Methodologies and Techniques of Web Usage Mining on the publisher's website for pricing and purchasing information.

Abstract

Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. It is the type of Web mining activity that involves the automatic discovery of out what users are looking for on the Internet. In this chapter methodology of web usage mining explained in detail which are data collection, data preprocessing, knowledge discovery and pattern analysis. The different Web Usage Mining techniques are described, which are used for knowledge and pattern discovery. These are statistical analysis, sequential patterns, classification, association rule mining, clustering, dependency modeling. Pattern analysis is needed to filter out uninterested rules or patterns from the set found in the pattern discovery phase.

The IRMA Community

Research IRM

Methodologies and Techniques of Web Usage Mining

Purchase

Abstract

Related Content

IRMA Sponsors