國立虎尾科技大學 |

Language: English

Back

Pattern recognition and big data

Pal, Sankar K.

Pattern recognition and big data

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Pattern recognition and big data/ [edited by] Amita Pal, Sankar K Pal.
other author:	Pal, Amita.
Published:	Singapore :World Scientific, : c2017.,
Description:	1 online resource (875 p.) :ill. (some col.) :
Notes:	Title from PDF file title page (viewed February 3, 2017)
Subject:	Big data. -
Online resource:	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:

981821
Big data.

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

Dewey Class. No.: 005.7

Pattern recognition and big data
LDR:01890nam a2200265 a 4500 001 948485
005 20170130090302.4
006 m o d
007 cr cn|||||||||
008 200620s2017 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 981821
650 0 $a Data mining. $3 528622
650 0 $a Pattern recognition systems. $3 557384
650 0 $a Electronic books. $3 567981
700 1 $a Pal, Amita. $3 1158471
700 1 $a Pal, Sankar K. $3 840885
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10153#t=toc

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library