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Big data analyticsa social network a...

Abraham, Ajith.

Big data analyticsa social network approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analyticseditors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham.
Reminder of title:	a social network approach /
other author:	Panda, Mrutyunjaya.
Published:	Boca Raton, FL :CRC Press,c2019.
Description:	1 online resource (322 p.) :ill.
Notes:	"A Science Publishers book"--Title page.
Subject:	Big data.
Online resource:	https://www.taylorfrancis.com/books/9781315112626
ISBN:	9781315112626$q(electronic bk. ;$qPDF)

Big data analyticsa social network approach /
Big data analyticsa social network approach /[electronic resource] :editors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham. - 1st ed. - Boca Raton, FL :CRC Press,c2019. - 1 online resource (322 p.) :ill.

"A Science Publishers book"--Title page.

Includes bibliographical references and index.

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects ofbig data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

ISBN: 9781315112626$q(electronic bk. ;$qPDF)Subjects--Topical Terms:

609582
Big data.

LC Class. No.: QA76.9.B45 / B547 2019

Dewey Class. No.: 005.7

Big data analyticsa social network approach /
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245 0 0 $a Big data analytics $h [electronic resource] : $b a social network approach / $c editors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c c2019.
300 $a 1 online resource (322 p.) : $b ill.
500 $a "A Science Publishers book"--Title page.
504 $a Includes bibliographical references and index.
520 3 $a Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects ofbig data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.
588 $a Description based on print version record.
650 0 $a Big data. $3 609582
650 0 $a Discourse analysis, Narrative. $3 176141
650 0 $a Truthfulness and falsehood. $3 186719
650 0 $a Online social networks. $3 281852
700 1 $a Panda, Mrutyunjaya. $3 679696
700 1 $a Hassanien, Aboul-Ella. $3 308936
700 1 $a Abraham, Ajith. $3 254770
856 4 0 $u https://www.taylorfrancis.com/books/9781315112626