言語:
日文
English
簡体中文
繁體中文
ヘルプ
ログイン
ホームページ
スイッチ:
ラベル
|
MARC形式
|
国際標準書誌記述(ISBD)
Big data analytics[electronic resour...
~
Abraham, Ajith.
Big data analytics[electronic resource] :a social network approach /
レコード種別:
コンピュータ・メディア : 単行資料
[NT 15000414] null:
005.7
タイトル / 著者:
Big data analytics : a social network approach // editors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham.
その他の著者:
Panda, Mrutyunjaya.
出版された:
Boca Raton, FL : : CRC Press,, c2019.
記述:
1 online resource (322 p.) : : ill.
注記:
"A Science Publishers book"--Title page.
主題:
Big data.
主題:
Discourse analysis, Narrative.
主題:
Truthfulness and falsehood.
主題:
Online social networks.
国際標準図書番号 (ISBN) :
9781315112626
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000229] null:
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 /
LDR
:01697cmm a2200277 a 4500
001
491073
003
FlBoTFG
005
20190122203252.0
006
m o d
007
cr cnu---unuuu
008
210127s2019 flua ob 001 0 eng d
020
$a
9781315112626
$q
(electronic bk. ;
$q
PDF)
020
$z
9781138082168
$q
(Hardback)
035
$a
9781315112626
040
$a
FlBoTFG
$b
eng
$c
FlBoTFG
041
0
$a
eng
050
0 0
$a
QA76.9.B45
$b
B547 2019
082
0 0
$a
005.7
$2
23
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
571002
650
0
$a
Discourse analysis, Narrative.
$3
386667
650
0
$a
Truthfulness and falsehood.
$3
376377
650
0
$a
Online social networks.
$3
337142
700
1
$a
Panda, Mrutyunjaya.
$3
616068
700
1
$a
Hassanien, Aboul-Ella.
$3
651662
700
1
$a
Abraham, Ajith.
$3
466237
856
4 0
$u
https://www.taylorfrancis.com/books/9781315112626
~に基づいて 0 論評
マルチメディア (複合媒体資料)
マルチメディアファイル
https://www.taylorfrancis.com/books/9781315112626
論評
論評を追加
あなたの考えを共有してください。
Export
受取館
処理
...
パスワードを変更する
ログイン