Editors:
- Presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of industry
- Extended versions of presentations delivered at the Industrial Session of the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015
- Addresses real world problems and shows innovative solutions for them
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 19)
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Table of contents (18 chapters)
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Front Matter
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Text Processing
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Front Matter
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Text and Multimedia Processing
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Front Matter
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Complex Systems, Internet of Things and Agent Systems
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Front Matter
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About this book
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.<
Editors and Affiliations
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Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland
Dominik Ryżko, Henryk Rybiński
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Institute of Computer Science, Warsaw University of Technology, Abo, Poland
Piotr Gawrysiak
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Institute of Computer Science, Warsaw University of Technology, Warszawa, Poland
Marzena Kryszkiewicz
Bibliographic Information
Book Title: Machine Intelligence and Big Data in Industry
Editors: Dominik Ryżko, Piotr Gawrysiak, Marzena Kryszkiewicz, Henryk Rybiński
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-30315-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2016
Hardcover ISBN: 978-3-319-30314-7Published: 04 April 2016
Softcover ISBN: 978-3-319-80778-2Published: 25 April 2018
eBook ISBN: 978-3-319-30315-4Published: 24 March 2016
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 236
Number of Illustrations: 23 b/w illustrations, 39 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Big Data/Analytics, Industrial and Production Engineering