Analysis of Machine Learning for Processing Big Data in High Performance Computing: A Review

Rohit, Rohit and Gupta, B. and Gola, K. (2020) Analysis of Machine Learning for Processing Big Data in High Performance Computing: A Review. EAI Endorsed Transactions on Cloud Systems, 6 (19). p. 166353. ISSN 2410-6895

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Abstract

In the present situation, it is worthy for all that the computerized information for example big data is quickly growing in all requests and turning out to be difficulties in convenience forms. Age of the valuable data from the multiplied information is a fascinating procedure might be called as preparing of the information. Presently a day's prepared informational collectionshave an imperative situation in discovering information through machine learning. The Authors may need to discover new thoughts of machine learning or profound learning methods for machine in the field of preparing information for superior figuring. This paper speaks to the review of different machine procedures or strategies applied before train data sets for information extraction of information in enormous information investigation to improve performance computing like cloud computing or grid computing. This paper could be as starting point and base of examination and has a key an incentive in the field of machine learning.

Item Type: Article
Uncontrolled Keywords: Proliferated Data, Trained Data Sets, Deep Learning, Machine Learning, Big Data Analytics and Cloud Computing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 21 Jan 2021 06:54
Last Modified: 21 Jan 2021 06:54
URI: https://eprints.eudl.eu/id/eprint/801

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