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Pattern recognition and big data[ele...

Pal, Amita.

Pattern recognition and big data[electronic resource] /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	005.7
[NT 47271] Title/Author:	Pattern recognition and big data/ [edited by] Amita Pal, Sankar K Pal.
[NT 51406] other author:	Pal, Amita.
出版者:	Singapore : : World Scientific,, c2017.
面页册数:	1 online resource (875 p.) : : ill. (some col.)
附注:	Title from PDF file title page (viewed February 3, 2017)
标题:	Big data.
标题:	Data mining.
标题:	Pattern recognition systems.
标题:	Electronic books.
ISBN:	9789813144552
[NT 15000227] null:	Includes bibliographical references and indexes.
[NT 15000229] null:	"Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications. Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis."--Publisher's website.
电子资源:	http://www.worldscientific.com/worldscibooks/10.1142/10153#t=toc

Pattern recognition and big data[electronic resource] /
Pattern recognition and big data[electronic resource] /[edited by] Amita Pal, Sankar K Pal. - 1st ed. - Singapore :World Scientific,c2017. - 1 online resource (875 p.) :ill. (some col.)

Title from PDF file title page (viewed February 3, 2017)

Includes bibliographical references and indexes.

"Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications. Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis."--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789813144552

LCCN: 2016025417Subjects--Topical Terms:

571002
Big data.

LC Class. No.: QA76.9.B45 / P35 2017

Dewey Class. No.: 005.7

Pattern recognition and big data[electronic resource] /
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008 210127s2017 si a ob 001 0 eng
010 $a 2016025417
020 $a 9789813144552 $q (electronic bk.)
020 $z 9789813144545
035 $a 00010153
040 $a WSPC $b eng $c WSPC
050 0 4 $a QA76.9.B45 $b P35 2017
082 0 4 $a 005.7 $2 23
245 0 0 $a Pattern recognition and big data $h [electronic resource] / $c [edited by] Amita Pal, Sankar K Pal.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2017.
300 $a 1 online resource (875 p.) : $b ill. (some col.)
500 $a Title from PDF file title page (viewed February 3, 2017)
504 $a Includes bibliographical references and indexes.
520 $a "Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications. Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis."--Publisher's website.
538 $a Mode of access: World Wide Web.
650 0 $a Big data. $3 571002
650 0 $a Data mining. $3 337740
650 0 $a Pattern recognition systems. $3 189561
650 0 $a Electronic books. $2 local $3 376747
700 1 $a Pal, Amita. $3 709396
700 1 $a Pal, Sankar K. $3 488465
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10153#t=toc

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