Issues and Challenges in Big Data Mining

Authors(1) :-Sakshi

Big Data is fast becoming a big problem since last year. Big data refers to datasets which has large size and complexity. We can’t capture, store, manage and analyze with typical database software tools. Data mining is highlighted buzzword that is used to describe the range of Big data analytics, with collection, extraction, analysis and statics. Big Data mining involves to extracting useful information from these huge sets of data and streams of data, due to its volume, velocity and variety. This paper describes an overview of Big Data mining, problems related to mining and the new opportunities. During discussion we include platform and framework for managing and processing large data sets. We also discuss the knowledge discovery process, data mining, and various open source tools with current condition, issues and forecast to the future.

Authors and Affiliations

Assistant Professor, Department of Computer Science and Applications, Guru Nanak College, Ferozepur Cantt, Punjab, India

Data mining, Big data, Big data mining, Big data management Issues and Challenges.

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Publication Details

Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 524-535
Manuscript Number : IJSRSET184871
Publisher : Technoscience Academy

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

Cite This Article :

Sakshi, " Issues and Challenges in Big Data Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 7, pp.524-535, March-April-2018.
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