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Pattern recognition and big data

Pal, Amita.

Pattern recognition and big data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pattern recognition and big data/ [edited by] Amita Pal, Sankar K Pal.
其他作者:	Pal, Amita.
出版者:	Singapore :World Scientific, : c2017.,
版本:	1st ed.
面頁冊數:	1 online resource (875 p.) :ill. (some col.) :
附註:	Title from PDF file title page (viewed February 3, 2017)
提要註:	"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.
標題:	Big data. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/10153#t=toc
ISBN:	9789813144552

Pattern recognition and big data
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:

387512
Big data.

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

Dewey Class. No.: 005.7

Pattern recognition and big data
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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 387512
650 0 $2 96060 $a Data mining. $3 255525
650 0 $a Pattern recognition systems. $3 323698
650 0 $a Electronic books. $3 334297
700 1 $a Pal, Amita. $3 435884
700 1 $a Pal, Sankar K. $3 435885
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10153#t=toc

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