Big Data Analytics using Swarm Intelligence based Framework for Prediction on Datasets
C.Kalpana1, B. Booba2
1C.Kalpana, Research Scholar, VISTAS, Vel’s University, Chennai, Tamil Nadu, India.
2Dr. B. Booba, Professor, Dept. Of CSE VISTAS, Vel’s University, Chennai, Tamil Nadu, India. 

Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7356-7360 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5298118419/2019©BEIESP | DOI: 10.35940/ijrte.D5298.118419

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Abstract: Data Analytics is a scientific as well as an engineering tool used to investigate the raw data to revamp the information to achieve knowledge. This is normally connected with obtaining knowledge from reliable information source and rapidity in information processing, and future prediction of the data analysis. Big Data analytics is strongly evolving with different features of volume, velocity and Vectors. Most of the organizations are now concentrating on analyzing information or raw data that are fascinated in deploying analytics to survive forthcoming issues and challenges. The prediction model or intelligent model is proposed in this research to apply machine learning algorithms in the data set. Then it is interpreted and to analyze the better forecast value of the study. The major objective of this research work is to find the optimum prediction from the medical data set using the machine learning techniques.
Keywords: Then It is Interpreted and To Analyze The Better Forecast Value of The Study.
Scope of the Article: Big Data Analytics.