Welcome to the InfoSci Platform
Rule Optimization of Web-Logs Data Using Evolutionary Technique

Rule Optimization of Web-Logs Data Using Evolutionary Technique

Manish Kumar, Sumit Kumar
Copyright: © 2014 |Pages: 13
ISBN13: 9781466660861|ISBN10: 1466660864|EISBN13: 9781466660878
DOI: 10.4018/978-1-4666-6086-1.ch010
Cite Chapter Cite Chapter

MLA

Kumar, Manish, and Sumit Kumar. "Rule Optimization of Web-Logs Data Using Evolutionary Technique." Data Mining and Analysis in the Engineering Field, edited by Vishal Bhatnagar, IGI Global, 2014, pp. 180-192. https://doi.org/10.4018/978-1-4666-6086-1.ch010

APA

Kumar, M. & Kumar, S. (2014). Rule Optimization of Web-Logs Data Using Evolutionary Technique. In V. Bhatnagar (Ed.), Data Mining and Analysis in the Engineering Field (pp. 180-192). IGI Global. https://doi.org/10.4018/978-1-4666-6086-1.ch010

Chicago

Kumar, Manish, and Sumit Kumar. "Rule Optimization of Web-Logs Data Using Evolutionary Technique." In Data Mining and Analysis in the Engineering Field, edited by Vishal Bhatnagar, 180-192. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6086-1.ch010

Export Reference

Mendeley
Favorite

Abstract

Web usage mining can extract useful information from Weblogs to discover user access patterns of Web pages. Web usage mining itself can be classified further depending on the kind of usage data. This may consider Web server data, application server data, or application level data. Web server data corresponds to the user logs that are collected at Web servers. Some of the typical data collected at Web server are the URL requested, the IP address from which the request originated, and timestamp. Weblog data is required to be cleaned, condensed, and transformed in order to retrieve and analyze significant and useful information. This chapter analyzes access frequent patterns by applying the FP-growth algorithm, which is further optimized by using Genetic Algorithm (GA) and fuzzy logic.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.