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Big data analytics[electronic resour...
~
Abraham, Ajith.
Big data analytics[electronic resource] :a social network approach /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
005.7
書名/作者:
Big data analytics : a social network approach // editors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham.
其他作者:
Panda, Mrutyunjaya.
出版者:
Boca Raton, FL : : CRC Press,, c2019.
面頁冊數:
1 online resource (322 p.) : : ill.
附註:
"A Science Publishers book"--Title page.
標題:
Big data.
標題:
Discourse analysis, Narrative.
標題:
Truthfulness and falsehood.
標題:
Online social networks.
ISBN:
9781315112626
書目註:
Includes bibliographical references and index.
摘要、提要註:
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.
電子資源:
https://
www.taylorfrancis.com/books/9781315112626
Big data analytics[electronic resource] :a social network approach /
Big data analytics
a 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: 9781315112626Subjects--Topical Terms:
571002
Big data.
LC Class. No.: QA76.9.B45 / B547 2019
Dewey Class. No.: 005.7
Big data analytics[electronic resource] :a social network approach /
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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.
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https://www.taylorfrancis.com/books/9781315112626
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