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Educational BigData Mining Approach in Cloud: Reviewing the Trend

by D. Pratiba, G. Shobha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 13
Year of Publication: 2014
Authors: D. Pratiba, G. Shobha
10.5120/16072-5274

D. Pratiba, G. Shobha . Educational BigData Mining Approach in Cloud: Reviewing the Trend. International Journal of Computer Applications. 92, 13 ( April 2014), 43-50. DOI=10.5120/16072-5274

@article{ 10.5120/16072-5274,
author = { D. Pratiba, G. Shobha },
title = { Educational BigData Mining Approach in Cloud: Reviewing the Trend },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 13 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number13/16072-5274/ },
doi = { 10.5120/16072-5274 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:15.526269+05:30
%A D. Pratiba
%A G. Shobha
%T Educational BigData Mining Approach in Cloud: Reviewing the Trend
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 13
%P 43-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big Data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity, it was not possible before to do it. The Big Data challenge is becoming one of the most exciting opportunities for the next years. We present in this issue, a broad overview of the topic, its current status, controversy, and forecast to the future. We introduce four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining

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Index Terms

Computer Science
Information Sciences

Keywords

component Big Data Data Mining

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