Impact of Data Mining on Big Data Analytics: Challenges and Opportunities

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-57 Number-1
Year of Publication : 2018
Authors : Priyanka Gautam ,Prof (Dr.) Y.P Singh
  10.14445/22312803/IJCTT-V57P104

MLA

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.

Abstract
“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.

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Keywords
Data mining, big data, big data mining, Big Data Analytics