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Short Survey of Data Mining and Web Mining using Cloud Computing


Affiliations
1 Department of Information Technology Supporting and Maintenance, Computer University, Myanmar, India
2 Computer University, Myanmar, India
 

In this paper we present the data mining and web mining using Cloud Computing Technology. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Web mining includes how to extract the useful information from the web and gain knowledge using data mining techniques. Web mining techniques (specially web usage mining techniques) and applications are much needed in cloud computing. Web mining refers to the application of data mining techniques to the World Wide Web. Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Cloud computing will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage.

Keywords

Cloud Computing, Data mining, Web mining, Clustering, Classification, World Wide Web.
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  • Jeffrey Voas and Jia Zhang, ―Cloud Computing: New Wine or Just a New Bottle.‖ IEEE Internet Computing Magazine,2009. http://www.cmlab.csie.ntu.edu.tw/~jimmychad/CN2011/R eadings/CloudComputingNewWine.pdf.

  • Virgilio Almeida, Azer Bestavros , Mark Crovella , and Adriana de Oliveira, ― Characterizing reference locality in the WWW ‖ , In IEEE International Conference in Parallel and Distributed Information Systems, Miami Beach, Florida, USA, December 1996. http://www.cs.bu.edu/groups/oceans/papers/ Home.html

  • Chen, M. S, Han, J. and Yu, P. S. ―Data Mining: An overview from a database perspective‖, IEEE transaction on knowledge and data engineering, Vol. 08, No. 6, pp: 866-883, 1996.

  • Raymond Kosala, Hendrik Blockeel,‖ Web Mining Research: A Survey‖, In ACM SIGKDD, July 2000.

  • Peter Mell, and Timothy Grance, ―The NIST Definition of Cloud Computing‖, The National Institute of Standards and Technology, USA, 2011, Link:http://csrc.nist.gov/publications/nistpubs/800145/SP800-145.pdf.

  • Merriam-Webster Dictionary, ―Definition of data mining‖, Link:http://www.merriamwebster.com/dictionary/data%20 mining

  • Aviral Kumar Singhal and Niraj Singhal, ― Cloud Computing Vs Fog Computing: A Comparative Study, Vol. 12, Issue. 4, DOI :10.35444/IJANA.2021.12403, pp: 4627-4632, https://www.ijana.in/V12-4.php.

  • Faten Khalil, Jiuyong Li and Hua Wang ―A Framework of Combining Markov Model with Association Rules for Predicting Web Page Accesses‖ ,Proc. Fifth Australasian Data Mining Conference (AusDM2006), CRPIT Volume 61,177-184.

  • Wu, K.L. Yu, P. S. Ballman, A. ―A Web usage mining and analysis tool―, IBM Systems Journal, 2010

  • 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

  • K. Vijayalakshmi, Dr. M . Vinayakamurthy, Dr. V. Anuradha and Pavan Chunduri, A Survey on Mining Algorithms for Predictive Analytics of Asd, Vol. 10, Issue. 5, (March-April 2019), pp: 38-40, https://www.ijana.in/papers/10-NCACTA_181.pdf.

  • Bhagyashree Ambulkar and Vaishali Borkar, “Data Mining in Cloud Computing”, MPGI National Multi Conference 2012 (MPGINMC-2012), 7-8 April 2012, Link: http://research.ijcaonline.org/ncrtc/number6/mpginmc104 7.pdf

  • Cloud Computing with the Windows Azure Platform By Roger Jennings

  • Moving To The Cloud: Developing Apps in the New World of Cloud Computing, By Dinkar Sitaram, Geetha Manjunath

  • The Cloud Computing Handbook - Everything You Need to Know about Cloud Computing, By Todd Arias

  • Gajendra Sharma and UmeshHengaju, ―Performance Analysis Of Data Mining Classification Algorithm To Predict Diabetes , Vol. 12, Issue. 1, DOI:10.35444/IJANA.2020.12101, pp: 4509-4518, https://www.ijana.in/v12-1.php.

  • Deepa B G, Dr. Senthil S and Piyush Singh, ― Data Mining on Classifiers Prophecy of Breast Cancer Tissues, Vol. 10, Issue. 5, (March-April 2019), pp: 8-12, https://www.ijana.in/papers/4-NCACTA_142.pdf.

  • B.V.Sudhakavya, Swathi.V and Dr.S.Senthil, ―Classification Algorithm in Data Mining, Vol. 10, Issue. 5, (March-April 2019), pp: 18-21, https://www.ijana.in/papers/5-NCACTA_154.pdf.


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  • Short Survey of Data Mining and Web Mining using Cloud Computing

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Authors

Aye Pwint Phyu
Department of Information Technology Supporting and Maintenance, Computer University, Myanmar, India
Ei Ei Thu
Computer University, Myanmar, India

Abstract


In this paper we present the data mining and web mining using Cloud Computing Technology. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Web mining includes how to extract the useful information from the web and gain knowledge using data mining techniques. Web mining techniques (specially web usage mining techniques) and applications are much needed in cloud computing. Web mining refers to the application of data mining techniques to the World Wide Web. Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Cloud computing will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage.

Keywords


Cloud Computing, Data mining, Web mining, Clustering, Classification, World Wide Web.

References