ISSN: 2349-5162

JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 3 Issue 9
October-2016
eISSN: 2349-5162

Unique Identifier

JETIR1609016

Page Number

89-91

Share This Article


Title

Big Data Prediction using Evolutionary Techniques: A survey

ISSN

2349-5162

Cite This Article

"Big Data Prediction using Evolutionary Techniques: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 9, page no.89-91, October-2016, Available :http://www.jetir.org/papers/JETIR1609016.pdf

Abstract

Big Data is an emerging concept that describes innovative techniques and technologies to analyze large volume of complex data sets that are exponentially generated from various sources and with various rates. 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 data sets. Predictive analytics is one of types of big data analytics which is learns from experience and predict the future behavior or patterns. This paper presents a review on prediction based evolutionary algorithms which identifies the relevant accurate algorithm based on problem.

Key Words

Big Data, Big Data Analytics, Big Data prediction, Machine learning algorithms

Cite This Article

"Big Data Prediction using Evolutionary Techniques: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp89-91, October-2016, Available at : http://www.jetir.org/papers/JETIR1609016.pdf

Publication Details

Published Paper ID: JETIR1609016
Registration ID: 160415
Published In: Volume 3 | Issue 9 | Year October-2016
DOI (Digital Object Identifier):
Page No: 89-91
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Big Data Prediction using Evolutionary Techniques: A survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp89-91, October-2016, Available at : http://www.jetir.org/papers/JETIR1609016.pdf




Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0001415

Print This Page