A Survey of Approaches for Hadoop with Clustering Techniques

Authors

  • 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

Keywords:

Big Data, Clustering, Data Mining

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-07-30

Issue

Volume 4, Issue 9, July-August-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.