The Study on Predictive Analysis Algorithm : Survey

Authors

  • Anandajayam P  Research Scholar, Department of Computer Science and Engineering/ Pondicherry Engineering College, Tamil Nadu, India
  • Dr. N. Sivakumar  Assistant Professor, Department of Computer Science and Engineering/ Pondicherry Engineering College, Tamil Nadu, India

Keywords:

Big Data Analytics, Predictive Analysis, Machine Learning Algorithm

Abstract

Nowadays the increase of data variety considered very controversy problem. So inventive methods are mandatory for analytics especially in big data where the data are very complex, structured, unstructured and semi structured. It is owing to a good deal of research which is carried out in Predictive, Prescriptive, Diagnostic, and Descriptive. Because of the increase in the huge volume of data this paper helps the researcher in analysing the prediction. Machine learning is one of the materialize ways to fabricate the analytic model for machines to learn from data and able to do analysis on prediction. The cue “big data analytics” can be simplified by the subsequent four manners: data, problem, methodology, and technology. In this paper, we discuss the study of predictive analytics. Predictive analytics is a prerequisite approach that handles the necessary quantum of potentially fragile data to predict the future possibilities, trends, and measures. Predictive analytics are composed of various mathematical and meticulous methods used to produce a new technique to predict future possibilities. This paper, scrutinizes about various predictive analytics algorithms with for and against in big data. The predictive algorithms have been explained in upcoming parts.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
Anandajayam P, Dr. N. Sivakumar, " The Study on Predictive Analysis Algorithm : Survey , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.677-686, January-February-2018.