Overview
- Presents new trends in applied linguistics, IT systems and education
- Highlights theories and applications of intelligent systems
- Discusses big data and cloud computing issues and challenges
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 512)
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About this book
The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as topics in intelligent information management. Written by active researchers, the different chapters are based on contributions presented at the workshop in intelligent systems and computing (ISC), held during CSIT 2016, September 6-9, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. All in all, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and it is expected to foster new discussions andcollaborations among different groups.
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Keywords
Table of contents (22 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Intelligent Systems and Computing
Book Subtitle: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine
Editors: Natalya Shakhovska
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-45991-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-45990-5Published: 20 September 2016
eBook ISBN: 978-3-319-45991-2Published: 12 September 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: VII, 325
Number of Illustrations: 64 b/w illustrations, 47 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Communications Engineering, Networks, IT in Business, Artificial Intelligence