IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Techniques for Visualizing Website Usage Patterns with an Adaptive Neural Network

Techniques for Visualizing Website Usage Patterns with an Adaptive Neural Network
View Sample PDF
Author(s): Victor Perotti (Rochester Institute of Technology College of Business, USA)
Copyright: 2003
Pages: 6
Source title: Computing Information Technology: The Human Side
Source Author(s)/Editor(s): Steven Gordon (Babson College, USA)
DOI: 10.4018/978-1-93177-752-0.ch003

Purchase

View Techniques for Visualizing Website Usage Patterns with an Adaptive Neural Network on the publisher's website for pricing and purchasing information.

Abstract

At any given Website, the flow of users’ visitations represents a valuable source of information for Web professionals. However, the identification and interpretation of Web usage patterns is not necessarily an easy task. The sheer volume and complexity of the browsing patterns captured in the Website server logs makes understanding users a difficult, time-consuming task. The present chapter explores the use of an adaptive neural network to visualize the Website usage patterns. This visual representation supports the identification of clusters of Web pages that are frequently visited together by users. A Website designer can see, at a glance, the primary groups of Web pages that visitors browse. Further, the site structure can be readily compared to the usage clusters to measure how well the links at the Website support the actual use of the site.

Related Content

Gülsüm Akarsu. © 2023. 19 pages.
Mitchell Alan Kaplan. © 2023. 18 pages.
Sonia Bhandari, Aarti Bhandari. © 2023. 21 pages.
Mehmet Hilmi Özkaya, Abdullatif Almukaddam, Maeen Alhuwesh. © 2023. 14 pages.
Oğuzhan Yelkesen. © 2023. 19 pages.
Lina Karabetyan. © 2023. 12 pages.
Özlem Yorulmaz. © 2023. 18 pages.
Body Bottom