Advances in Computing and Data Sciences: 4th International Conference, Icacds 2020, Valletta, Malta, April 24-25, 2020, Revised Selected Papers, Singh Mayank, Gupta P. K., Tyagi Vipin

Автор: Buttazzo
Название: Hard Real-Time Computing Systems
ISBN: 0387231374 ISBN-13(EAN): 9780387231372
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications is a basic treatise on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, illustrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems which can be used to support critical control applications.This volume serves as a textbook for advanced level courses on the topic. Each chapter provides basic concepts, which are followed by algorithms that are illustrated with concrete examples, figures and tables. Exercises are included with each chapter and solutions are given at the end of the book. The book also provides an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.

Автор: Robert Lafore
Название: Data Structures and Algorithms in Java
ISBN: 0672324539 ISBN-13(EAN): 9780672324536
Издательство: Pearson Education
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Описание: Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, this work includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate.

Автор: Maimon
Название: Data Mining and Knowledge Discovery Handbook
ISBN: 0387244352 ISBN-13(EAN): 9780387244358
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.