Machine Intelligence and Big Data in Industry
Editors: Ryżko, D., Gawrysiak, P., Kryszkiewicz, M., Rybiński, H. (Eds.)
Free Preview- Presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of industryExtended 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
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- About this book
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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.<
- Table of contents (18 chapters)
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Automatic Sentiment Analysis in Polish Language
Pages 3-10
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Learning Curve with Machine Translation Based on Parallel, Bilingual Corpora
Pages 11-21
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N-Gram Collection from a Large-Scale Corpus of Polish Internet
Pages 23-34
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Study Fields Clustering Using KRK Competences
Pages 35-47
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Semantic Textual Similarity Using Various Approaches
Pages 49-62
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Table of contents (18 chapters)
- Download Preface 1 PDF (50.1 KB)
- Download Sample pages 2 PDF (124.2 KB)
- Download Table of contents PDF (57.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Machine Intelligence and Big Data in Industry
- Editors
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- Dominik Ryżko
- Piotr Gawrysiak
- Marzena Kryszkiewicz
- Henryk Rybiński
- Series Title
- Studies in Big Data
- Series Volume
- 19
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-30315-4
- DOI
- 10.1007/978-3-319-30315-4
- Hardcover ISBN
- 978-3-319-30314-7
- Softcover ISBN
- 978-3-319-80778-2
- Series ISSN
- 2197-6503
- Edition Number
- 1
- Number of Pages
- VIII, 236
- Number of Illustrations
- 23 b/w illustrations, 39 illustrations in colour
- Topics
