S.Gnanamurthy, Department of Computer Science and Engineering, Priyadharshini Engineering College, India.
Vishnu Kumar Kaliappan, Dept of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India.
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :169-173
Abstract
In this paper, we are trying to discover Predictive Analytics by means of combining special information mining methods with large data. Predictive lookup consists of a number of mathematical and analytical techniques to increase new techniques for doable prediction possibilities. The paper also portrays the integration of Big Data characteristics as the foundation of Data Mining by Apache Hadoop's usefulness in achieving the above. With the resource of accessible statistics mining techniques, predictive analytics predicts the activities in future and can make tips referred to as prescriptive analytics. This evaluates paper offers clear thought to follow facts mining strategies and predictive analytics on distinctive clinical dataset to predict a variety of ailments with accuracy levels, execs and cons that conclude about the troubles of these algorithms and futuristic processes on huge data.
Keywords
Predictive Analytics, Data Mining, Big Data, Hadoop, Machine Learning.
Cite this article
S.Gnanamurthy and Vishnu Kumar Kaliappan, “Analytics of Specialized Data by Data Mining”, Innovations in Information and Communication Technology, pp. 169-173, December 2020.
Copyright
© 2020 S.Gnanamurthy and Vishnu Kumar Kaliappan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
