Web Usage Mining of Hidden Knowledge Using Server Log Files - Softcover

Abdul Ghani, Wajih

Softcover

ISBN 10: 3659772909 ISBN 13: 9783659772900

Publisher: LAP LAMBERT Academic Publishing, 2017

Synopsis

Due to the hugeness of information available on the World Wide Web (WWW), extracting novel and useful knowledge from the web has gained significant attention among researchers in web mining. This type of mining has been used in three particular ways, web content mining, web structure mining, web usage mining. This paper is related to web usage mining by using the association rules and suggested algorithms to extract hidden knowledge in the log file. Extracting these types of knowledge required many of KDD steps such as preprocessing, pattern discovery, and pattern analysis. After that, the developed Apriori algorithm is adopted to mine the association rules from frequent pages or frequent IPs. The approach discussed in this paper, helps the system administrator and web designers to improve their web site design and helps to improve their website usability and visitor’s browsing experience by determining related link connections in the website.

About this title

About the Author

My name is Wajih Abdul Ghani Abdul Hussain, from Baghdad in Iraq, I studied in university of Baghdad, college of science, department of computer. I graduated in 2006. Since that year, I developed my skills in programming language especially visual basic, c sharp and asp.net. Now I worked in my department as lecturer in Preliminary studies.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2017
• Language: English
• ISBN 10: 3659772909
• ISBN 13: 9783659772900
• Binding: Paperback
• Number of pages: 152