Editors:
- All chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2017), held on September 5–8, 2017, in Lviv, Ukraine, and at two workshops accompanying the conference
- Presents new trends in applied linguistics, information technology (IT) systems, and education
- Highlights theories and applications of intelligent systems
- Discusses central issues and challenges in big data and cloud computing
- Reports on new approaches to automated knowledge discovery workflows
- Offers new ideas on model validation and visualization
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 689)
Conference series link(s): CSIT: Conference on Computer Science and Information Technologies
Conference proceedings info: CSIT 2017.
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Table of contents (46 papers)
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Front Matter
About this book
This 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 issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management.
Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2017), held on September 5–8, 2017, in Lviv, Ukraine; and at two workshops accompanying the conference: one on inductive modeling, jointly organized by the Lviv Polytechnic National University and the National Academy of Science of Ukraine; and another on project management, which was jointly organized by the Lviv Polytechnic National University, the International Project Management Association, the Ukrainian Project Management Association, the Kazakhstan Project Management Association, and Nazarbayev University.
Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Keywords
- Information Content Optimization
- Implementation of Search Engines
- GMDH-Based Models
- Neuro-Fuzzy Systems
- Real-Time Neuronetworks
- Discrete Dynamic Models
- Knowledge-Intensive Industries
- Adaptive Enhancement
- Models Of Conflict Harmonization
- Decision Support Systems
- Big Data Processing
- Computer-Aided Design
- Intelligent Information Management
- Grammatically Augmented Ontology
- Virtual Research Teams
- CSIT 2017
Editors and Affiliations
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Lviv Polytechnic National University, Lviv, Ukraine
Natalia Shakhovska
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IRTC ITS NASU, Kiev, Ukraine
Volodymyr Stepashko
Bibliographic Information
Book Title: Advances in Intelligent Systems and Computing II
Book Subtitle: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2017, September 5-8 Lviv, Ukraine
Editors: Natalia Shakhovska, Volodymyr Stepashko
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-70581-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-70580-4Published: 22 November 2017
eBook ISBN: 978-3-319-70581-1Published: 20 November 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XI, 670
Number of Illustrations: 211 b/w illustrations, 164 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Project Management, Artificial Intelligence