Web mining for better web usability
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2007.
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| Формат: | Дисертація |
| Мова: | English |
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BRAC University
2010
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| Онлайн доступ: | http://hdl.handle.net/10361/481 |
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10361-4812022-01-26T10:15:56Z Web mining for better web usability Mostafiz, Golam Khan, Mumit Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2007. Cataloged from PDF version of thesis report. Includes bibliographical references (page 29). To develop more effective user-oriented learning techniques for the Web, we need to be able to identify a meaningful session unit from which we can learn. Without this, we could have a high risk to mix up the different user’s activity in the web. We are interested to detect boundaries of sequences between related sessions that would group the activities for a learning purpose. But identification of user session is not always easy where logged on and cookie information is not available. The problem of predicting user access in web pages has recently gets a significant attention. Several algorithms have been proposed, which find important applications, like user profiling, web perfecting, design of adaptive web sites, etc. In all these applications the main issue is the development of an effective prediction system. Because of its importance in reducing user perceived latency present in every Web-based application, which is a usability issue. This thesis paper describes a data mining technique for identify user sessions from huge amount of web log data and a web system, which makes prediction about the user target page by using those sessions to guide the user in World Wide Web. Golam Mostafiz B. Computer Science and Engineering 2010-10-13T03:46:09Z 2010-10-13T03:46:09Z 2007 2007-12 Thesis ID 03201078 http://hdl.handle.net/10361/481 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 29 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Computer science and engineering |
| spellingShingle |
Computer science and engineering Mostafiz, Golam Web mining for better web usability |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2007. |
| author2 |
Khan, Mumit |
| author_facet |
Khan, Mumit Mostafiz, Golam |
| format |
Thesis |
| author |
Mostafiz, Golam |
| author_sort |
Mostafiz, Golam |
| title |
Web mining for better web usability |
| title_short |
Web mining for better web usability |
| title_full |
Web mining for better web usability |
| title_fullStr |
Web mining for better web usability |
| title_full_unstemmed |
Web mining for better web usability |
| title_sort |
web mining for better web usability |
| publisher |
BRAC University |
| publishDate |
2010 |
| url |
http://hdl.handle.net/10361/481 |
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AT mostafizgolam webminingforbetterwebusability |
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1814308588100780032 |