A Study of Tools & Techniques of Web Usage Mining
In the today scenario huge amount of information is available on web i.e. WWW (World Wide Web). It is the most powerful source of information. So, web is the fertile area of Data Mining research. Web mining is the extension of Data Mining. Main focus of Web Usage mining is on techniques that can predict user behavior when the user interacts with the internet. It seeks to make feel of the data generated by the Web surfer’s sessions or behaviors. This article gives the taxonomy of web mining (i.e. Web content mining, Web structure mining, and Web Usage mining). Cloud mining can be seen as a future of Web Mining. This paper also concerned with the study of various tools and techniques for Web Usage Mining.
O. Etzioni, “The World-Wide Web: quagmire or gold mine”, Communications of the ACM, 39(11), pp 65-68, 1996.
M. Eirinaki and M. Vazirgiannis.,”Web Mining for web Personalization.”, ACM Trans. Inter. Tech. Vol. 3, No.1, pp 1-27, 2003.
B. Singh, H.K. Singh, “WEB DATA MINING RESEARCH: A SURVEY”, Computational Intelligence and Computing Research (ICCIC), in IEEE 2010, International Conf., pp 1 – 10.
N. Anwat, V. Patil, “Survey Paper on Web Usage Mining for Web Personalization”, International Journal Of Innovative Research & Development, vol. 3, Issue 7, pp 127-132, 2014.
M. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan, Andrew S. Tomkins, “The Web as a Graph: Measurements, Models, and Methods”, SpringerLink, Vol. 1627, pp 1-17, 1999.
O. Nasraoui, M. Soliman, E. Saka, A. Badia, R. Jermain, ” A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites “, IEEE, pp 202 – 215, 2008.
Q. Zhang and Richard s. Segall,” Web mining: a survey of current research,Techniques, and software”, in the International Journal of Information Technology & Decision Making Vol. 7, No. 4 pp. 683–720, 2008.
R. Kosala and H. Blockeel, “Web mining research: A survey,” SIGKDD:SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery and Data Mining, ACM, Vol. 2, pp 1-15, 2000.
J. Shrivastava, “Web Mining :Accomplishments & Future Directions”, University of Minnesota, USA, 2002.
J. Srivastava, R. Cooley, M. Deshpande, P. Tan, “Web Usage mining: Discovery and applications of usage patterns from web data” SIGKDD Explorations newsletter, 1(2), pp 12-23, 2000.
B. Mobasher, R. Cooley, and J. Srivastava, J., “Automatic personalization based on Web Usage mining”, Communications of the ACM, 43(8), pp 142-151, 2000.
M. Eirinaki and M. Vazirgiannis, “Web mining for web Personalization”, ACM Transactions on Internet Technology, 3(1), pp 1-27, 2000.
Mandalay, Myanmar, “Data mining based fragmentation and prediction of medical data”, in 2011, 3rd International Conf. on ICCRD, pp 480-485.
J. Srivastava, R. Cooley, M. Deshpande and P. Tan., “Web Usage Mining: Discovery and Applications of Usage Patterns from Web data”, Department of Computer Science and Engineering, University of Minnesota. SIGKDD, Explorations, 1(2):12, January 1999.
Y. Liu ; “Study on Application of Apriori Algorithm in Data Mining”, in 2010, 2nd International Conf. on Computer Modeling and Simulation, pp 111 - 114 .
S. Kaur1, U. Kaur2, “A Survey on Various Clustering Techniques with K-means Clustering Algorithm in Detail“, International Journal of Computer Science and Mobile Computing, Vol. 2, Issue. 4, pp 155 – 159, 2013.
A.G.Buchner, M. Baumgarten, S.S.Anand MD.Mulvenna and J.G. Hughes,“Navigation Pattern Discovery from Internet Data”, In WEBKDD, San Diego, CA 1999.
R. Cooley,”Web Usage Mining: discovery and Applications of Interesting patterns from web data”, Ph.D. Thesis, University of Minnesota, 2000.
J. I. Hong, J. Heer, S. Waterson, and J. A. Landay , “Web Quilt: A proxy-based approach to remote web usability testing”, ACM Transactions on Information Systems, 19(3), pp 263-285, 2001.
M. Koutri, N. Avouris, and S. Daskalaki, ”A survey on Web Usage mining techniques for web-based adaptive hypermedia systems”, Adaptable and Adaptive Hypermedia Systems Idea, pp 1-23, 2004,.
D. Pierrakos, G. Paliouras, C. Papatheodorou, and C.D. Spyropoulos, “Web Usage mining as a tool for personalization: A survey”, Journal of User Modeling and User Adapted Interaction, 13(4), pp 311-372, 2003.
R. S. T. Lee, and J. N. K. Liu, iJADE, “Web-Miner: An Intelligent Agent Framework for Internet Shopping”, IEEE Transactions on Knowledge and Data Engineering, 16(4), pp 461- 473, 2004.
B. Mobasher, H. Dai, T., Luo, and M. Nakagawa, “Effective personalization based on association rule discovery from Web Usage data”, Proceeding of the third international workshop on Web information and data management WIDM 01, 9, USA, pp 9-15, 2001.
F. Toolan, and N. Kusmerick, “Mining Web Logs for Personalized Site Maps”, in 2002 IEEE, Third International Conf. on Web Information Systems Engineering (Workshops), Washington, DC, USA, pp 232-237.
J. Kerkhofs, K. Vanhoof and D. Pannemans,”Web Usage Mining on Proxy servers: A Case Study”, Limburg University Center, July 30, 2001.
L. Lu, M. H. Dunham, and Y. Meng, “Discovery of Significant Usage Patterns from Clusters of Clickstream Data”, Proceedings of the ACM SIGKDD workshop on Knowledge Discovery in Web WebKDD05, Chicago, IL, USA, 2005.
T. Falkowski, J. Bartelheimer, and M. Spiliopoulou,” Mining and Visualizing the Evolution of Subgroups in Social Networks”, in 2006, IEEEWICACM International Conf. on Web Intelligence, pp 52-58.
N. Labroche, M. J. Lesot, and L. Yaffi, “A New Web Usage Mining and Visualization Tool”, in 2007, 19th IEEE International Conf. on Tools with Artificial Intelligence, pp 321-328.
F. Khalil, J. Li, and H. Wang, “Integrating Recommendation Models for Improved Web Page Prediction Accuracy”, in 2008, ACM International Conf. Proceeding Series, Wollongong, Australia, pp 91-100.
O. Nasraoui, M. Soliman, E. Saka, A. Badia, and R. Germain, “A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites”, IEEE Transactions on Knowledge and Data Engineering, 20(2), pp 202-215, 2008.
Y. Tao, T. Hong, and Y. Su, “Web Usage mining with intentional browsing data”, International journal of Expert Systems with Applications, 34(3), pp 1893-1904, 2008.
N. David, L. Patrascu, A. Sasu, & D. Damian, “A probabilistic model for Web Usage mining” , in 2009, 8th Wseas international conf. on Telecommunications and informatics, pp 129–133.
F. Masseglia, P. Poncelet, M. Teisseire, and A. Marascu, “Web Usage mining: extracting unexpected periods from web logs”, International Journal of Data Mining and Knowledge Discovery, 16(1), pp 39-65, 2008.
G.R.B., S.Totad, P.PVGD.,”Amalgamation of Web Usage Mining and Web Structure Mining.”, International Journal of Recent trends in Engineering Vol.1, Issue 2, 2009.
H. Dai, and B. Mobasher,” Integrating Semantic Knowledge with Web Usage Mining for Personalization”, Information Systems Journal, pp 1-28, 2009.
S. B. Thakare, and S. Z. Gawali, “A Effective And Complete Preprocessing For Web Usage Mining”, International Journal On Computer Science And Engineering, 2(3),pp 848-851, 2010,.
M. Rao, M. Kumari, and K. Raju, Understanding User Behavior using Web Usage Mining’, International Journal of Computer Applications, 1(7), pp 55–61, 2010.
B. S. Kumar, and K. V. Rukmani, “Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms”, International Journal of Advanced Networking and applicatons, 1(06), pp 400-404, 2010.
P. Senkul, and S. Salin, “Improving Pattern Quality in Web Usage Mining by Using Semantic Information”, International Journal of Knowledge and Information Systems, 1(6), pp 400- 404, 2011.
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