A Survey of Big Data using Data Mining Algorithms

Authors(1) :-Megha K. Patel

Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. With the fast develop-ment of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engi-neering domains, including physical, biolog-ical and bio-medical sciences. This article presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggre-gation of information sources, mining and analysis, user interest modeling, and secu-rity and privacy considerations. We ana-lyze the challenging issues in the data-driven model and also in the Big Data revolution.

Authors and Affiliations

Megha K. Patel
Information and Technology Department, L.D. College of Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

Big data, Data Mining Algorithms

  1. Data Mining with Big Data by Xindong Wu1,2, Xingquan Zhu3, Gong-Qing Wu2, Wei Ding4
  2. Survey on Big Data and Mining Algorithm by Shweta Verma, Vivek Badhe

Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 593-597
Manuscript Number : IJSRSET1736156
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Megha K. Patel, " A Survey of Big Data using Data Mining Algorithms, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.593-597, September-October-2017.
Journal URL : http://ijsrset.com/IJSRSET1736156

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