Impact of Data Mining on Big Data Analytics: Challenges and Opportunities
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : Priyanka Gautam ,Prof (Dr.) Y.P Singh|
|DOI : 10.14445/22312803/IJCTT-V57P104|
Priyanka Gautam ,Prof (Dr.) Y.P Singh "Impact of Data Mining on Big Data Analytics: Challenges and Opportunities". International Journal of Computer Trends and Technology (IJCTT) V57(1):19-26, March 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
“big data” has become a highlighted buzzword since last year; “big data mining” has almost immediately followed up as an emerging, interrelated research area. Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Data mining techniques are providing great aid in the area of Big Data analytics, since dealing with Big Data are big challenges for the applications. Big Data analytics is the ability of extracting useful information from such huge datasets. This paper presents different approaches used for Big Data Analysis by using Data Mining techniques. Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper provides an overview of big data mining and discusses the related challenges and the new opportunities. We hope our effort will help reshape the subject area of today’s data mining technology toward solving tomorrow’s bigger challenges emerging in accordance with big data. The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this paper provides a platform to explore big data at numerous stages. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open research issues.
 Puneet Singh Duggal and Sanchita Paul, Big Data Analysis: Challenges and Solutions.
 Han Hu, Yongyang Nen, Tat Seng Chua, Xuelong Li, Towards Scalable System for Big Data Analytics: A Technology Tutorial, IEEE Access, Volume 2, Page No 653, June 2014.
 Wei Fan and Albert Bifet, Mining Big Data: Current Status, and Forecast to the Future, SIGKDD Explorations, Volume 14, Issue 2, 2012.
 S.Vikram Phaneendra and E.Madhusudhan Reddy, Big Data- solutions for RDBMS problems- A survey, IEEE/IFIP Network Operations & Management Symposium (NOMS 2010),Osaka Japan, Apr 19-23 2013.
 Hardeep Kaur, A Review of Applications of Data Mining in the Field of Education, IJARCCE, Vol. 4, Issue 4, April 2015.
 Kishor, D., Big Data: The New Challenges in Data Mining, IJIRCST, 1(2), pp. 39-42, 2013.
 Dheeraj Agarwal, A comprehensive study of data mining and applications, IJARCET, Vol , issue 1, January 2013.
 Sagiroglu, S. and Sinanc, D., Big Data: A Review, International Conference on Collaboration Technologies and Systems (CTS), pp.42-47, 20-24, May 2013.
 Richa Gupta, Sunny Gupta and Anuradha Singhal, Big Data: Overview, IJCTT, Vol 9, Number 5, March 2014.
 Xindong Wu, Gong-Quing Wu and Wei Ding, Data Mining with Big Data, Jan 2014.
 Bharti Thakur and Manish Mann, Data Mining for Big Data: A Review, IJARCSSE, Volume 4, Issue 5, May 2014.
 Gantz, J., & Reinsel, D. (2011). The 2011 Digital Universe Study: Extracting Value from Chaos.
 Sabia and Sheetal Kalra, Application of Big Data: Current Status and Future Scope, IJACTE, Vol 3, Issue 5, 2014.
 James Manyika, Michael Chui, Brad Brown, Jacques Bhuhin, Richard Dobbs, Charles Roxburgh and Angela Hungh Byers, Big Data: The next frontier for innovation, competition and productivity, June 2011.
 Sagiroglu, S and Sinanc D., Big Data: A Review, International Conference on Collaboration Technologies and Systems (CTS), pp.42-47, 20-24 May 2013.
 Ankita S. Tiwarkhede and Vinit Kakde, A Review Paper on Big Data Analytics, IJSR, Volume 4 Issue 4, April 2015 Article ID 431047, March 2015.
Data mining, big data, big data mining, Big Data Analytics