A Survey of Approaches for Hadoop with Clustering Techniques

Authors(2) :-Prof. Abhishek Pandey, Ankita Malviya

Data mining environment creates a lot of information, that should be investigated, examples must be removed from that to pick up learning. In this new period with blast of information both organized and unstructured, in the field of genomics, meteorology, science, ecological examination and numerous others, it has gotten to be hard to process, oversee and break down examples utilizing customary databases and architectures. Thus, a legitimate structural engineering ought to be comprehended to pick up information about the Big Data.This paper presents a review of various algorithms from necessary for handling such large data set. These algorithms define various structures and methods implemented to handle Big Data, also in the paper are listed various tool that were developed for analyzing them.

Authors and Affiliations

Prof. Abhishek Pandey
Takshshila Institute of Engineering and Technology, Jabalpur, Madhya Pradesh, India
Ankita Malviya
Takshshila Institute of Engineering and Technology, Jabalpur, Madhya Pradesh, India

Big Data, Clustering, Data Mining

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Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 384-389
Manuscript Number : IJSRSET184978
Publisher : Technoscience Academy

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

Cite This Article :

Prof. Abhishek Pandey, Ankita Malviya, " A Survey of Approaches for Hadoop with Clustering Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.384-389, July-August-2018.
Journal URL : http://ijsrset.com/IJSRSET184978

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