Web Mining Using Cloud Computing Technology
Keywords:
Data mining, Web Mining, Data Warehouse, Knowledge Discovery, Cloud Mining, Web Content Mining, Web Structure Mining, Web Usage MiningAbstract
In this paper we present the web mining using Cloud Computing Technology. Web mining includes how to extract the useful information from the web and gain knowledge using data mining techniques. Here so many resources and techniques are available i.e. web content mining, web structure mining, web usage mining and access through the web servers. Web mining techniques (specially web usage mining techniques) and applications are much needed in cloud computing. The implementation of these techniques through cloud computing will allow users to retrieve relevant and meaningful data from virtually integrated data warehouse which reduces cost and infrastructure.
References
web mining , “www.wikipedia.com”, 10-02-2015 .
Data preprocessing ,” http://ieeexplore.ieee.org ”, 10-02-2015.
M.Rathamani et al , “Web usage mining and user behavior analysis using fuzzy C-means clustering”, IOSR Journal of Computer Engineering (IOSRJCE) ISSN: 2278-0661, ISBN: 2278-8727 Volume 7, Issue 2 (Nov-Dec. 2012), PP 09-15.
Yongjian Fu et al , ”A Framework for Personal Web Usage Mining”.
Rajni Pamnani, Pramila Chawan Department of computer technology, VJTI University, Mumbai “Web Usage Mining: A Research Area in Web Mining”.
Jaideep Srivastava et al , “Discovery and Applications of Usage Patterns from Web Data” , Jan 2000 Volume 1, Issue 2 - page 12.
Kaikala Anjani Sravanthi1, “Web Mining Using Cloud Computing” , ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 4, April 2013.
Vivek Raich, Pradeep Sharma, Shivlal Mewada and Makhan Kumbhkar, "Performance Improvement of Software as a Service and Platform as a Service in Cloud Computing Solution", ISROSET-International Journal of Scientific Research in Computer Science and Engineering, Volume-01, Issue-06, Page No (13-16), Nov -Dec 2013
V. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White. Visualization of navigation patterns on a web site using model-based clustering. In In Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery andData Mining,pages 280{284, Boston, Massachusetts, 2000.
Mobasher, H. Dai, T. Luo, and M. Nakagawa. Discovery and evaluation of aggregate usage profiles for webpersonalization.Data Mining and Knowledge Discovery, 6(1):61{82, January 2002.
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