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Article . 2018
License: CC BY
Data sources: Datacite
ZENODO
Article . 2018
License: CC BY
Data sources: Datacite
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Classification of privacy-preserving and characteristics of big data

Authors: Kiran Kumar S V N Madupu;

Classification of privacy-preserving and characteristics of big data

Abstract

ABSTRACTBig data is going to continue expanding during the next years as well as each data researcher will certainly have to manage a lot more quantity of data yearly. The information is most likely to be larger, diverse and also faster. Numerous technical challenges like applications and also visualizations are to be taken into consideration in future. This is just the survey paper which reveals the demand of big data and exactly how big business are taking rate of interest in it. The data mining methods can be used on big data to acquire some valuable info from big datasets. Therefore these two terms are not different rather they are combined with each other to get some helpful picture from the information. This paper provides the classification of privacy-preserving and characteristics of big data.Keywords: Big Data, classification, big data 

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citations
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
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