Research Article
Knowledge Extraction Using Web Usage Mining
@ARTICLE{10.4108/eai.13-4-2018.154551, author={Muhammad Waqas and Maria Iram and Sara Shahzad and Sidra Arshad and Tahir Nawaz }, title={Knowledge Extraction Using Web Usage Mining}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={5}, number={16}, publisher={EAI}, journal_a={SIS}, year={2018}, month={4}, keywords={Data Mining, Web Usage Mining, Web Mining, Knowledge Extraction, KD, WWW}, doi={10.4108/eai.13-4-2018.154551} }- Muhammad Waqas
Maria Iram
Sara Shahzad
Sidra Arshad
Tahir Nawaz
Year: 2018
Knowledge Extraction Using Web Usage Mining
SIS
EAI
DOI: 10.4108/eai.13-4-2018.154551
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.
Copyright © 2018 Muhammad Waqas et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
