A Novel Integrated Approach for Big Data Mining

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-18 Number-5
Year of Publication : 2014
Authors : Ritu Katarha, Hareram Shah
DOI :  10.14445/22312803/IJCTT-V18P144


Ritu Katarha, Hareram Shah "A Novel Integrated Approach for Big Data Mining". International Journal of Computer Trends and Technology (IJCTT) V18(5):195-198, Dec 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The growing volume of digital internet of things is fuelling it even extra. The rate of data increase is surprising and this information comes at a speed, with diversity which is not necessarily structured. Ability to examine this massive amount of data is bringing a new age of productivity growth, novelty and consumer surplus. Data analysis, organization, retrieval, and modeling are other foundational challenges. Data analysis is a clear bottleneck in many applications, both due to lack of scalability of the underlying algorithms and due to the complexity of the data that needs to be analyzed. Finally, presentation of the results and its interpretation by non-technical domain experts is crucial to extracting actionable knowledge. By integrating data mining and cloud computing in IDMCC provides quick access to technology. The outcome of this integration is strong and capacitive platform that will be able to deal with the increasing production of data, or that will generate the situation for the proficient mining of big amount of data from diverse data storehouses with the intend of creating helpful information or the creation of innovative knowledge. This paper deals with the learning of how data mining is used in cloud computing.

[1] Alawode A. Olaide, “On Modeling Confidentiality Archetype and Data Mining in Cloud Computing”, African Journal of Computing & ICT, Vol 6. No. 1, March 2013
[2] Bhanu Bhardwaj, “Extracting Data Through Webmining”, International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 3, May - 2012
[3] Janardhan. N, T. Sree Pravallika, Sowjanya Gorantla, “An efficient approach for integrating data mining into cloud computing”, International Journal of Computer Trends and Technology (IJCTT) - volume4 Issue5–May 2013
[4] Daniel J. Abadi, Yale University, DataManagement in the Cloud: Limitations and Opportunities, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 2009.
[5] Naskar Ankita, Mrs. Mishra Monika R., “Using Cloud Computing To Provide Data Mining Services”, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 2 Issue 3 March 2013 Page No. 545-550.
[6] Zeba Qureshi, Jaya Bansal, Sanjay Bansal, A Survey on Association Rule Mining in Cloud Computing, paper of ijetaeISSN 2250-2459, Volume 3, Issue 4, April 2013).
[7] Robert Vrbi?, “Data Mining and Cloud Computing”,Journal of Information Technology and Applications, Volume 2 December 2012.
[8] B R Prakash, Dr. M. Hanumanthappa, Issues and Challenges in the Era of Big Data Mining, IJCTTCS- ISSN 2278-6856, Volume 3, Issue 4 July-August 2014.
[9] Apache Hadoop. What Is Apache Hadoop?, 2014. http://hadoop.apache.org/, accessed April 2014.

Big Data Mining, Integrated Data and Cloud Computing – IDMCC