Big Data Management: Theory & Practice

Authors

  • Swati Jain Assistant Professor, Department of Computer Science, Government J. Y. C. College, Raipur, Chhattisgarh, India
  • Sunil Kumar Kashya Faculty, School of Studies in Mathematics, Pandit Ravishankar Shukla University, Raipur, Chhattisgarh, India

Abstract

In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibilistic model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper.

Keywords: Big Data, K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm.

Cite this Article: Swati Jain, Sunil Kumar Kashyap. Big Data Management: Theory and Practice. Journal of Software Engineering Tools & Technology Trends. 2020; 7(2): 13–22p.

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Published

2020-08-21

Issue

Vol. 7 No. 2 (2020)

Section

Research Articles

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