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.
Oosthuizen, C., Wesson, J., Cilliers, C., “Visual Web mining of Organizational Web Sites”, Proceedings of the Information Visualization (IV’06), IEEE Computer Society, 2006.
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.
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.
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.
Facca, F.M., Lanzi, P.L.,“Mining interesting knowledge from web logs: a survey”, Elsevier Science, Data & Knowledge Engineering 53 (2005), 225-241, 2005.
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.
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.
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.
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.
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.
Cooley, R., Mobasher, B., Srivastava, J., “Data Preparation for mining World Wide Web Browsing Patterns”, Knowledge and Information Systems 1, 1-27, 1999.
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.
Feng Zhang, Hui-You Chang, “Research and Development in Web Usage Mining System- Key Issues and Proposed Solutions: A Survey”, Proceedings of the First International Conference on Machine Learning and Cybernetics, 986–990, Beijing, 4-5 November 2002.
Eirinaki, M., Vaziargiannis, M., “Web mining for web personalization”, ACM Transactions on Internet Technology (TOIT) 3(1):pp 1-27, 2003.
Khasawneh, N., Chan, C.C., “Web Usage Mining Using Rough Sets”, IEEE Annual Meeting of the North American Fuzzy Information Processing Society – (NAFIPS’05), 2005.
Internet: Nihuo Web Log Analyzer (NWLA), http://www.nihuo.com/, 2007.
Cooley, R., “Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data”, PhD thesis, University of Minnesota, 2000.
Wang Bin, Liu Zhijing, “Web Mining [23] Internet: Hypertext Transfer Protocol Research”, Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA’03), IEEE Computer Society, 2003.
Internet: WWW Consortium, understand visitor behavior in the web site”,
IEICE Trans, Inform. Systems E87-D (2), http://www.w3.org/Daemon/User/Config/Lo gging.html#common-logfile-format, 1995.
Internet: W3C Extended Log File Format, http://w3c.org/TR/WD-logfile.html, 1996.
Xiaozhe Wang, Ajith Abraham, Kate A. Smith, “Intelligent web traffic mining and analysis”, Elsevier Science, Journal of Network and Computer Applications 28, 147-165, 2005. Overview, http://www.w3.org/Protocols/, http://www.w3.org/Protocols/rfc2616/rfc261 6-sec1.html, 1995.
J.D. Velezquez, H.Yasuda, T.Aoki, R.Weber, “A New similarity measure to 389-396, 2004.
O. R. Zaiane, M. Xin, and J. Han, “Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs”, in Proc. Advances in Digital Libraries Conference (ADL'98), Santa Babara, CA, April, 1998.
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.
Oosthuizen, C., Wesson, J., Cilliers, C., “Visual Web mining of Organizational Web Sites”, Proceedings of the Information Visualization (IV’06), IEEE Computer Society, 2006.
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.
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.
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.
Facca, F.M., Lanzi, P.L.,“Mining interesting knowledge from web logs: a survey”, Elsevier Science, Data & Knowledge Engineering 53 (2005), 225-241, 2005.
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.
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.
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.
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.
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.
Cooley, R., Mobasher, B., Srivastava, J., “Data Preparation for mining World Wide Web Browsing Patterns”, Knowledge and Information Systems 1, 1-27, 1999.
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.
Feng Zhang, Hui-You Chang, “Research and Development in Web Usage Mining System- Key Issues and Proposed Solutions: A Survey”, Proceedings of the First International Conference on Machine Learning and Cybernetics, 986–990, Beijing, 4-5 November 2002.
Eirinaki, M., Vaziargiannis, M., “Web mining for web personalization”, ACM Transactions on Internet Technology (TOIT) 3(1):pp 1-27, 2003.
Khasawneh, N., Chan, C.C., “Web Usage Mining Using Rough Sets”, IEEE Annual Meeting of the North American Fuzzy Information Processing Society – (NAFIPS’05), 2005.
Internet: Nihuo Web Log Analyzer (NWLA), http://www.nihuo.com/, 2007.
Cooley, R., “Web Usage Mining: Discovery and Application of Interesting Patterns from Web Data”, PhD thesis, University of Minnesota, 2000.
Wang Bin, Liu Zhijing, “Web Mining [23] Internet: Hypertext Transfer Protocol Research”, Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA’03), IEEE Computer Society, 2003.
Internet: WWW Consortium, understand visitor behavior in the web site”,
IEICE Trans, Inform. Systems E87-D (2), http://www.w3.org/Daemon/User/Config/Lo gging.html#common-logfile-format, 1995.
Internet: W3C Extended Log File Format, http://w3c.org/TR/WD-logfile.html, 1996.
Xiaozhe Wang, Ajith Abraham, Kate A. Smith, “Intelligent web traffic mining and analysis”, Elsevier Science, Journal of Network and Computer Applications 28, 147-165, 2005. Overview, http://www.w3.org/Protocols/, http://www.w3.org/Protocols/rfc2616/rfc261 6-sec1.html, 1995.
J.D. Velezquez, H.Yasuda, T.Aoki, R.Weber, “A New similarity measure to 389-396, 2004.
O. R. Zaiane, M. Xin, and J. Han, “Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs”, in Proc. Advances in Digital Libraries Conference (ADL'98), Santa Babara, CA, April, 1998.
Das, R., Turkoglu, I., & Poyraz, M. (2012). ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. IU-Journal of Electrical & Electronics Engineering, 7(2), 379-386.
AMA
Das R, Turkoglu I, Poyraz M. ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. IU-Journal of Electrical & Electronics Engineering. Ocak 2012;7(2):379-386.
Chicago
Das, Resul, Ibrahim Turkoglu, ve Mustafa Poyraz. “ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING”. IU-Journal of Electrical & Electronics Engineering 7, sy. 2 (Ocak 2012): 379-86.
EndNote
Das R, Turkoglu I, Poyraz M (01 Ocak 2012) ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. IU-Journal of Electrical & Electronics Engineering 7 2 379–386.
IEEE
R. Das, I. Turkoglu, ve M. Poyraz, “ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING”, IU-Journal of Electrical & Electronics Engineering, c. 7, sy. 2, ss. 379–386, 2012.
ISNAD
Das, Resul vd. “ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING”. IU-Journal of Electrical & Electronics Engineering 7/2 (Ocak 2012), 379-386.
JAMA
Das R, Turkoglu I, Poyraz M. ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. IU-Journal of Electrical & Electronics Engineering. 2012;7:379–386.
MLA
Das, Resul vd. “ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING”. IU-Journal of Electrical & Electronics Engineering, c. 7, sy. 2, 2012, ss. 379-86.
Vancouver
Das R, Turkoglu I, Poyraz M. ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. IU-Journal of Electrical & Electronics Engineering. 2012;7(2):379-86.