Web Usage Mining

Author:

Ahmed Moiz Uddin1,Mahmood Amjad2

Affiliation:

1. Department of Computer Science, Allam Iqbal Open University, Islamabad, Pakistan

2. Department of Computer Science, College of IT, University of Bahrain, Zallaq, Bahrain

Abstract

The technological revolutions have opened up new ways of information and communication. The Internet is growing as a vital source of information in this modern era of technology. The ever increasing volume of information through WWW is creating complexity in the design, development and deployment of WWW. It has become important for the organizations to analyze the usage of their web sites. The web usage analysis may help the organizations not only to monitor the load on their websites and cater for the needs of their potential clients but also enhance their web services and restructure the organization to better serve their clients. Web mining has emerged as important research areas used to discover information which can be utilized for improvement of websites. Allama Iqbal Open University (AIOU) is one of the largest open and distant university of the world. Due to unique philosophy of open and distant learning, AIOU has been providing useful information online through its website. It is an active website which is flooded with huge flow of information. This paper presents web usage analysis of AIOU website and provides statistical analysis of the usage patterns. It presents how the results were used not only to enhance the web contents and services but also discusses how these results helped the university to allocate and reallocate its resources. The reallocation was used to improve efficiency and processes of the university in order to better serve its clients.

Publisher

IGI Global

Subject

General Medicine

Reference20 articles.

1. Allama Iqbal Open University. (2012). VC Annual Report 2011-12 (pp. 10-25).

2. Chih-Hung, W., Yen-Liang, W., Yuan-Ming, C., & Ming-Hung, H. (2010). Web usage mining on the sequences of clicking patterns in a grid computing environment. In Proceedings of International Conference on Machine Learning and Cybernetics (ICMLC) (Vol. 6. pp. 2909-2914).

3. A survey on preprocessing methods for web usage data.;V.Chitraa;International Journal of Computer Science and Information Security,2010

4. De-Min, D. (2009). Exploration on web usage mining and its application. In Proceedings of International Workshop on Intelligent Systems and Applications (pp. 1-4).

5. Toward an effective understanding of website users: Advantages and pitfalls of linking transaction log analyses and online surveys.;H.Diane;D-Lib Magazine,2007

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