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ZENODO
Article . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2018
License: CC BY
Data sources: Datacite
ZENODO
Article . 2018
License: CC BY
Data sources: Datacite
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A Study on the cycle of Big Data Mining

Authors: Pushpavathi Mannava;

A Study on the cycle of Big Data Mining

Abstract

ABSTRACTData mining describes the task of going through big data sets to seek relevant or significant information. This type of task is actually an example of the old axiom "looking for a needle in a haystack." The idea is that services gather enormous sets of data that may be homogeneous or automatically accumulated. Decision-makers require access to smaller sized, much more certain pieces of information from those large sets. They use data mining to uncover the items of details that will certainly inform management and help chart the course for a company. This paper provides a detailed study on the cycle of big data mining.Keywords: Data mining, big data cycle, cloud computing. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green