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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 3, MARCH 2017

A Review: Predictive Analytics with Big Data

Mr. Rizwanahmed B. Mujawar, Dr. Dinesh B. Kulkarni

DOI: 10.17148/IJARCCE.2017.63124

Abstract: Businesses and researchers alike take great interests in furthering the use of Predictive Analytics in enhancing Business Intelligence and forecasting ability across a wide range of applications. As data is growing so fast every day, analysis of big data is a big problem for traditional analysis technique. Data generated from various resources is huge in volume and highly unstructured in nature, it is thus important to structure the data and leverage its actual potential. This requires a need for new techniques and frameworks to aid humans in automatically and intelligently analyzing large data sets to acquire useful information. This review paper discusses the overview of the researches done in this area. This paper also gives an insight how big data can be analyzed using predictive analytics method by exploiting the potential of Hadoop/Map-Reduce tool. The benefit of implementing this technique would be that making business orientated decisions in a respective domain of data.



Keywords: predictive analytics, data mining, apache hadoop, R, apache sparks.

How to Cite:

[1] Mr. Rizwanahmed B. Mujawar, Dr. Dinesh B. Kulkarni, “A Review: Predictive Analytics with Big Data,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.63124