Journal of Soft Computing Paradigm
IRO Journals
Volume 1 — Issue 2 — December 2019

REVIEW OF MACHINE LEARNING TECHNIQUES FOR VOLUMINOUS INFORMATION MANAGEMENT

https://doi.org/10.36548/jscp.2019.2.005
A. Pasumpon Pandian
Professor, Computer Science Engineering, KGiSL Institute of Technology, Coimbatore, India
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Pandian, A. Pasumpon. 2019. “REVIEW OF MACHINE LEARNING TECHNIQUES FOR VOLUMINOUS INFORMATION MANAGEMENT”. Journal of Soft Computing Paradigm 1 (2): 103-12. https://doi.org/10.36548/jscp.2019.2.005.
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Keywords

— Big Data Analytics
— Big Data Management
— Supervised
— Reinforcement Learning
— Machine-learning and Deep Learning
Published: 31-12-2019

Abstract

The recent technological growth at a rapid pace has paved way for the big data that denotes to the exponential growth of the information's. The big data analytics are the trending concepts that have emerged as the promising technology that offers more enhanced perceptions from the huge set of the data that have been produced from the diverse areas. The review in the paper proceeds with the methods of the big-data-analytics and the machine-learning in handling, the huge set of data flow. The overview of the utilization of the machine-learning algorithms in the analytics of high voluminous data would provide with the deeper and the richer analysis of the huge set of information gathered to extract the valuable and turn it into actionable information's. The paper is to review the part of machine-learning algorithms in the analytics of high voluminous data

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