cs 18: e1

Research Article

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

Download37 downloads
  • @ARTICLE{10.4108/eai.7-9-2020.166353,
        author={Rohit Rohit and B. Gupta and K. K. Gola},
        title={Analysis of Machine Learning for Processing Big Data in High Performance Computing: A Review},
        journal={EAI Endorsed Transactions on Cloud Systems: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={CS},
        year={2020},
        month={9},
        keywords={Proliferated Data, Trained Data Sets, Deep Learning, Machine Learning, Big Data Analytics and Cloud Computing},
        doi={10.4108/eai.7-9-2020.166353}
    }
    
  • Rohit Rohit
    B. Gupta
    K. K. Gola
    Year: 2020
    Analysis of Machine Learning for Processing Big Data in High Performance Computing: A Review
    CS
    EAI
    DOI: 10.4108/eai.7-9-2020.166353
Rohit Rohit1,*, B. Gupta2, K. K. Gola3
  • 1: Ph.D. Scholar, Department of Computer Science and Engineering, Uttarakhand Technical University, Dehradun, 248007, India
  • 2: Associate Professor, Department of Computer Science and Engineering, G.B. Pant Institute of Engineering & Technology, Pauri Garhwal, 246194, India
  • 3: Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering, TMU, Moradabad, 244001, India
*Contact email: rohit.saklan@gmail.com

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.