Knowledge Extraction Using Web Usage Mining

Muhammad Waqas; Maria Iram; Sara Shahzad; Sidra Arshad; Tahir Nawaz

doi:10.4108/eai.13-4-2018.154551

Knowledge Extraction Using Web Usage Mining

Authors

Muhammad Waqas University of Lahore
Maria Iram University of Lahore
Sara Shahzad UOP
Sidra Arshad University of Lahore
Tahir Nawaz University of Lahore

DOI:

https://doi.org/10.4108/eai.13-4-2018.154551

Keywords:

Data Mining, Web Usage Mining, Web Mining, Knowledge Extraction, KD, WWW

Abstract

Web log files are the greatest source of knowledge now days, which keeps all the information about users interaction to web. This interaction provides us the usage patterns of the user by using web usage mining. These files contain all the information about visitors of the web which is used as input for analysis. These files are converted to required formats after completing the preprocessing so Web Usage Mining (WUM) techniques can apply on these logs. Web usage mining gives us the details of user patterns. In this study we are going discover different behaviors patterns from the web proxy server log file of an educational organization with web usage mining technique. Results are based on the interest of users towards educational websites.

Downloads

Published

20-04-2018

How to Cite

Waqas M, Iram M, Shahzad S, Arshad S, Nawaz T. Knowledge Extraction Using Web Usage Mining. EAI Endorsed Scal Inf Syst [Internet]. 2018 Apr. 20 [cited 2024 Nov. 14];5(16):e14. Available from: https://publications.eai.eu/index.php/sis/article/view/2222

Download Citation

Issue

Vol. 5 No. 16 (2018): EAI Endorsed Transactions on Scalable Information Systems

Section

Research articles

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.