Machine Intelligence and Big Data in Industry

This book presents valuable contributions devoted topractical applications of Machine Intelligence and Big Data in various branchesof the industry. All the contributions are extended versions of presentationsdelivered at the Industrial Session the 6th International Conference on PatternRecognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland atJune 30- July 3, 2015, which passed through a rigorous reviewing process. Thecontributions address real world problems and show innovative solutions used tosolve them. This volume will serve as a bridge between researchers andpractitioners, as well as between different industry branches, which can benefitfrom sharing ideas and results.<

List of contents

Text Processing.- Data Mining.- Text and Multimedia Processing.- Software.- Complex Systems, Internet of Things and Agent Systems.

Summary

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.<

Product details

• Assisted by: Piot Gawrysiak (Editor), Piotr Gawrysiak (Editor), Marzena Kryszkiewicz (Editor), Marzena Kryszkiewicz et al (Editor), Dominik Ry_ko (Editor), Henryk Rybinski (Editor), Henryk Rybiński (Editor), Dominik Ryzko (Editor), Dominik Ryżko (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2016
• EAN: 9783319303147
• ISBN: 978-3-31-930314-7
• No. of pages: 236
• Dimensions: 165 mm x 243 mm x 20 mm
• Weight: 479 g
• Illustrations: VIII, 236 p. 62 illus., 39 illus. in color.
• Series: Studies in Big Data; Studies in Big Data
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Big Data, Data Mining, engineering, IT in Business, Industrial Engineering, Industrial and Production Engineering, Data Mining and Knowledge Discovery, Business mathematics & systems, Production engineering, Big Data/Analytics, Computational Intelligence, Expert systems / knowledge-based systems, Production and industrial engineering