Machine Intelligence and Big Data in Industry (Record no. 59102)

000 -LEADER
fixed length control field 02810nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-30315-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112555.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160324s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319303154
-- 978-3-319-30315-4
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Machine Intelligence and Big Data in Industry
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 236 p. 62 illus., 39 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Big Data,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Text Processing -- Data Mining -- Text and Multimedia Processing -- Software -- Complex Systems, Internet of Things and Agent Systems.
520 ## - SUMMARY, ETC.
Summary, etc This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015, which passed through a rigorous reviewing process. The contributions address real world problems and show innovative solutions used to solve them. This volume will serve as a bridge between researchers and practitioners, as well as between different industry branches, which can benefit from sharing ideas and results.
700 1# - AUTHOR 2
Author 2 Ryżko, Dominik.
700 1# - AUTHOR 2
Author 2 Gawrysiak, Piotr.
700 1# - AUTHOR 2
Author 2 Kryszkiewicz, Marzena.
700 1# - AUTHOR 2
Author 2 Rybiński, Henryk.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-30315-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big Data/Analytics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial and Production Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2197-6503 ;
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-- ZDB-2-ENG

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