Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2007 / Cilt: 7 - Sayı: 2

Analyzing of system errors for increasing a web server performance by using web usage mining

Sayfa
379–386
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The obtained results of the study will be used in the further development of theweb site in order to increase its effectiveness.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Web usage mining is to analysis Web log files to discover user accessing patterns of Web pages.
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Temel Bulgular & Veri:Theuser access log files present very significant information about a web server.
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Sonuç & Katkı:The obtained results of the study will be used in the further development of theweb site in order to increase its effectiveness.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Web usage mining is to analysis Web log files to discover user accessing patterns of Web pages. Theuser access log files present very significant information about a web server. This paper is deal withfinding information about a web site, top errors, link errors between the pages, etc. from the webserver access log files. The aim of this study is to analysis the web server user access logs of FiratUniversity to help system administrator and Web designer to improve their system by determiningoccured systems errors, corrupted and broken links by using web using mining. We found usefulinformation about activity statistics like top errors, client errors, server errors within the visited pagesetc. in a web server. The obtained results of the study will be used in the further development of theweb site in order to increase its effectiveness.

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Bu Makaleye Atıf Yap

POYRAZ, M., TURKOGLU, I., DAS, R. (2022). Analyzing of system errors for increasing a web server performance by using web usage mining. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 7 - Sayı: 2, 379–386. https://ajindex.com/articles/543793

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Kaynakça (13)

  1. Gündüz, Ş., “Recommendation models for Web users: User interest model and click- stream tree”, PhD. Thesis, Institute of Science and Technology, Istanbul Technical University, TURKEY, 2003
  2. Oosthuizen, C., Wesson, J., Cilliers, C., “Visual Web mining of Organizational Web Sites”, Proceedings of the Information Visualization (IV’06), IEEE Computer Society, 2006
  3. Liu, H., Keselj, V., “Combined mining of Web server logs and web contents for classifying user navigation patterns and predicting users’ future requests” Data & Knowledge Engineering, Volume 61, Issue 2, Pages 304-330, 2007
  4. Srivasta, J., Cooley, R., Deshpande, M., and Tan,P., “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data” SIGKDD Explorations. 1(2), 12-23, 2000
  5. Araya, S., Silva, M., Weber, R., “A Methodology for web usage mining and its applications to target group identification”, Fuzzy sets and systems 148, 139–152, 2004
  6. Facca, F.M., Lanzi, P.L.,“Mining interesting knowledge from web logs: a survey”, Elsevier Science, Data & Knowledge Engineering 53 (2005), 225-241, 2005
  7. Tuğ, E., Şakiroğlu, A.M., Arslan, A., “Automatic discovery of the sequential accesses from web log data files via a genetic algorithm”, Knowledge-Based Systems 19, 180-186, 2006
  8. R. Kosala, H. Blockeel, Web mining research: a survey, SIGKDD: SIGKDD explorations: newsletter of the special interest group (SIG) on knowledge discovery & data mining, ACM 2 (1),1–15, 2000
  9. Cooley, R., Mobasher, B., Srivastava, J., “Web Mining: Information and Pattern Discovery on the World Wide Web”, Tools with Artificial Intelligence, Ninth IEEE International Conference on 3-8 November 1997, Page(s): 558 – 567, USA, 1997
  10. Lizhen Liu, Junjie Chen, Hantao Song, “The Research of Web Mining”, Proceedings of the 4th World Congress on Intelligent Control and Automation, June 10-14, Shanghai/China, 2002
  11. S. Pal, V. Talwar, P. Mitra, Web Mining in soft computing framework: relevance, state of the art and future directions, IEEE Transactions on Neural Networks 13 (5), 1163–1177, 2002
  12. Cooley, R., Mobasher, B., Srivastava, J., “Data Preparation for mining World Wide Web Browsing Patterns”, Knowledge and Information Systems 1, 1-27, 1999
  13. Junjie Chen, Wei Liu, “Research for Web Usage Mining Model”, International Conference on Computational Intelligence for Modeling Control and Automation – Intelligent Agents, Web Technologies and Internet Commerce, (CIMCA-IAWTIC’06), 2006.