SOFSEM 2018: Theory and Practice of Computer Science〈1st ed. 2018〉 : 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29 - February 2, 2018, Proceedings

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SOFSEM 2018: Theory and Practice of Computer Science〈1st ed. 2018〉 : 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29 - February 2, 2018, Proceedings

  • 言語:ENG
  • ISBN:9783319731162
  • eISBN:9783319731179

ファイル: /

Description

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.

Table of Contents

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.

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