Machine Intelligence and Big Data in Industry

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 Recogniti...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ryżko, Dominik (Επιμελητής έκδοσης), Gawrysiak, Piotr (Επιμελητής έκδοσης), Kryszkiewicz, Marzena (Επιμελητής έκδοσης), Rybiński, Henryk (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Έκδοση:1st ed. 2016.
Σειρά:Studies in Big Data, 19
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Machine Intelligence and Big Data in Industry  |h [electronic resource] /  |c edited by Dominik Ryżko, Piotr Gawrysiak, Marzena Kryszkiewicz, Henryk Rybiński. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a VIII, 236 p. 62 illus., 39 illus. in color.  |b online resource. 
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347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Big Data,  |x 2197-6503 ;  |v 19 
505 0 |a Text Processing -- Data Mining -- Text and Multimedia Processing -- Software -- Complex Systems, Internet of Things and Agent Systems. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Big data. 
650 0 |a Data mining. 
650 0 |a Computational intelligence. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Big Data/Analytics. 
650 2 4 |a Industrial and Production Engineering. 
700 1 |a Ryżko, Dominik.  |e editor. 
700 1 |a Gawrysiak, Piotr.  |e editor. 
700 1 |a Kryszkiewicz, Marzena.  |e editor. 
700 1 |a Rybiński, Henryk.  |e editor. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319303147 
830 0 |a Studies in Big Data,  |x 2197-6503 ;  |v 19 
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912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)