Process of Web Usage Mining to find Interesting Patterns from Web Usage Data

Authors

  • Ketul Patel Ganpat University, Kherva, India
  • Dr. A. R. Patel Hemchandracharya North Gujarat University, Patan, India

DOI:

https://doi.org/10.24297/ijct.v3i1c.2767

Keywords:

E-Commerce, Pattern Discovery, Web Mining, Web Server Log, Web Usage Mining

Abstract

The traffic on World Wide Web is increasing rapidly and huge amount of data is generated due to users’ numerous interactions with web sites. Web Usage Mining is the application of data mining techniques to discover the useful and interesting patterns from web usage data. It supports to know frequently accessed pages, predict user navigation, improve web site structure etc. In order to apply Web Usage Mining, various steps are performed. This paper discusses the process of Web Usage Mining consisting steps: Data Collection, Pre-processing, Pattern Discovery and Pattern Analysis. It has also presented Web Usage Mining applications and some Web Mining software.

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Author Biographies

Ketul Patel, Ganpat University, Kherva, India

Acharya Motibhai Patel Institute of Computer Studies

Dr. A. R. Patel, Hemchandracharya North Gujarat University, Patan, India

Department of Computer Science

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Published

2012-08-01

How to Cite

Patel, K., & Patel, D. A. R. (2012). Process of Web Usage Mining to find Interesting Patterns from Web Usage Data. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 3(1), 144–148. https://doi.org/10.24297/ijct.v3i1c.2767

Issue

Vol. 3 No. 1 (2012)

Section

Research Articles
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