{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:02:06Z","timestamp":1781103726316,"version":"3.54.1"},"reference-count":20,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,7,1]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/jtd.2012070101","type":"journal-article","created":{"date-parts":[[2013,8,6]],"date-time":"2013-08-06T09:18:44Z","timestamp":1375780724000},"page":"1-12","source":"Crossref","is-referenced-by-count":3,"title":["Web Usage Mining"],"prefix":"10.4018","volume":"3","author":[{"given":"Moiz Uddin","family":"Ahmed","sequence":"first","affiliation":[{"name":"Department of Computer Science, Allam Iqbal Open University, Islamabad, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amjad","family":"Mahmood","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of IT, University of Bahrain, Zallaq, Bahrain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jtd.2012070101-0","unstructured":"Allama Iqbal Open University. (2012). 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Retrieved January 27, 2013, from http:\/\/www.internetworldstats.com\/stats.htm"},{"key":"jtd.2012070101-9","unstructured":"Kavita, S., Gulshan, S., & Vikas, K. (2011). Web mining: Today and tomorrow. In Proceedings of International Conference on Electronic Computer Technology \u2013 ICECT (pp. 399-403)."},{"key":"jtd.2012070101-10","unstructured":"Kobra, E., Akbarzadeh, T., & Noorali, R. (2009). Web usage mining: Users' navigational patterns extraction from web logs using ant-based Clustering Method. In Proceedings of IFSA-EUSFLAT Conference (pp. 396-401)."},{"key":"jtd.2012070101-11","unstructured":"Log analyzer:123Log analyzer: Web usage tool. (2012). Retrieved May 10, 2012, from http:\/\/123loganalyzer.com"},{"key":"jtd.2012070101-12","unstructured":"Luczak, M., & Bischo, M. (2011). Statistical analysis of web of data usage. In Proceedings of Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011) (pp. 1-16)."},{"key":"jtd.2012070101-13","unstructured":"Mahdi, K., & Mohammad, J. (2010). Dynamic mining of users interest navigation patterns using naive bayesian method. In Proceedings of International Conference on Intelligent Computer Communication and Processing (ICCP) (pp. 119-122)."},{"issue":"4","key":"jtd.2012070101-14","first-page":"17","article-title":"Analysis of server log by web usage mining for website improvement.","volume":"7","author":"K. T.Navin","year":"2010","journal-title":"International Journal of Computer Science"},{"key":"jtd.2012070101-15","doi-asserted-by":"crossref","unstructured":"Nina, S. P., Rahman, M., Bhuiyan, K. I., & Ahmed, K. (2009). Pattern discovery of web usage mining. In Proceedings of International Conference on Computer Technology and Development, 1, 499-503","DOI":"10.1109\/ICCTD.2009.199"},{"issue":"9","key":"jtd.2012070101-16","first-page":"1","article-title":"Applying web usage mining to a university website.","volume":"2","author":"H.Nirali","year":"2012","journal-title":"International Journal of Applied Information Systems"},{"key":"jtd.2012070101-17","unstructured":"Phillip, M., & Brian, B. (n.d.). Extended log file format, W3C working draft WD-logfile-960323. Retrieved January 28, 2013, from http:\/\/www.w3.org\/TR\/WD-logfile.html"},{"key":"jtd.2012070101-18","doi-asserted-by":"publisher","DOI":"10.5121\/ijcsit.2010.2403"},{"key":"jtd.2012070101-19","unstructured":"Srivastava, G., Sharma, K., & Kumar, V. (2011). Web mining: Today and tomorrow. 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