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SOFSEM 2018: Theory and Practice of Computer Science: Lecture Notes in Computer Science, cartea 10706

Editat de A Min Tjoa, Ladjel Bellatreche, Stefan Biffl, Jan Van Leeuwen, Ji¿í Wiedermann
en Limba Engleză Paperback – 10 ian 2018
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.
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Specificații

ISBN-13: 9783319731162
ISBN-10: 3319731165
Pagini: 716
Ilustrații: XV, 698 p. 141 illus.
Dimensiuni: 155 x 235 x 39 mm
Greutate: 1.07 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.