SOFSEM 2018: Theory and Practice of Computer Science: 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29 - February 2, 2018, Proceedings: Lecture Notes in Computer Science, cartea 10706
Editat de A Min Tjoa, Ladjel Bellatreche, Stefan Biffl, Jan van Leeuwen, Jiří Wiedermannen Limba Engleză Paperback – 10 ian 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: 663
Ilustrații: XV, 698 p. 141 illus.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Edizioni della Normale
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319731165
Pagini: 663
Ilustrații: XV, 698 p. 141 illus.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Edizioni della Normale
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
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.
Caracteristici
Includes supplementary material: sn.pub/extras