PREDICTIVE ANALYTICS CONCEPTS IN BIG DATA- A SURVEY

  • Banumathi S
N/ACitations
Citations of this article
40Readers
Mendeley users who have this article in their library.

Abstract

Nowadays the increase of data variety considered very dispute problem for analysis. So innovative methods are mandatory for analytics especially in big data where the data in characteristic very complex and unstructured. The analytics is the process of analysis to predict concealed pattern and association among data. The main objective of this survey paper is to provide the exhaustive view of different predictive analytics applications and approaches. Analytics methods focused with dissimilar perspectives based on applications and data variety. Some of the application discussed is big data in hotel governance, higher education, health care, data e-governance, consumer orientations. This paper present different predictive approaches adapted for different application with challenges and suggestions.

Cite

CITATION STYLE

APA

Banumathi, S. (2017). PREDICTIVE ANALYTICS CONCEPTS IN BIG DATA- A SURVEY. International Journal of Advanced Research in Computer Science, 8(8), 27–30. https://doi.org/10.26483/ijarcs.v8i8.4628

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free