Title: A survey of predictive analytics using big data with data mining

Authors: S. Poornima; M. Pushpalatha

Addresses: Department of CSE, SRM University, Chennai, Tamil Nadu, India ' Department of CSE, SRM University, Chennai, Tamil Nadu, India

Abstract: Today, the world is filled with data like Oxygen. The amount of data being harvested and eaten up is flourishing vigorously in the digital world. The growing exploitation of novel inventions and social media leads to the generation of huge quantities of data called Big data which can bring remarkable information if analysed properly. Organizations may undergo for analysis of big data to having better decisions, thus big data analytics is being paid attention in recent times. For finding the concealed values from big data, society requires new schemes or strategies. Predictive analytics comprises of several statistical and analytical techniques for developing novel strategies for the future possibilities of prediction. Therefore, Predictive analytics becomes vital when an essential quantity of highly sensitive data has to be handled. Based on the perceived events, future probabilities and measures are predicted. With the aid of available data mining techniques, predictive analytics predicts the events in future and can make recommendations called prescriptive analytics. This review paper gives clear idea to apply data mining techniques and predictive analytics on different medical dataset to predict various diseases with accuracy levels, pros and cons, that concludes about the issues of those algorithms and futuristic approaches on big data.

Keywords: big data; classification; data mining; predictive analytics.

DOI: 10.1504/IJBRA.2018.092697

International Journal of Bioinformatics Research and Applications, 2018 Vol.14 No.3, pp.269 - 282

Received: 23 Mar 2017
Accepted: 08 May 2017

Published online: 07 Dec 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article