Buch, Englisch, 698 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1066 g
SOFSEM 2018: Theory and Practice of Computer Science
1. Auflage 2018
ISBN: 978-3-319-73116-2
Verlag: Springer International Publishing
44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29 - February 2, 2018, Proceedings
Buch, Englisch, 698 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1066 g
Reihe: Theoretical Computer Science and General Issues
ISBN: 978-3-319-73116-2
Verlag: Springer International Publishing
This book constitutes the refereed proceedings of the 44th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2018, held in Krems, Austria, in January/February 2018.
The 48 papers presented in this volume were carefully reviewed and selected from 97 submissions. They were organized in topical sections named: foundations of computer science; software engineering: advances methods, applications, and tools; data, information and knowledge engineering; network science and parameterized complexity; model-based software engineering; computational models and complexity; software quality assurance and transformation; graph structure and computation; business processes, protocols, and mobile networks; mobile robots and server systems; automata, complexity, completeness; recognition and generation; optimization, probabilistic analysis, and sorting; filters, configurations, and picture encoding; machine learning; text searching algorithms; anddata model engineering.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Foundations of computer science.- Software engineering: advances methods, applications, and tools.- Data, information and knowledge engineering.- Network science and parameterized complexity.- Model-based software engineering.- Computational models and complexity.- Software quality assurance and transformation.- Graph structure and computation.- Business processes, protocols, and mobile networks.- Mobile robots and server systems.- Automata, complexity, completeness.- Recognition and generation.- Optimization, probabilistic analysis, and sorting.- Filters, configurations, and picture encoding.- Machine learning.- Text searching algorithms.- Data model engineering.
