Pattern Recognition and Classification in Time Series Data

Eva Volna

ISBN 10: 1522505652 / ISBN 13: 9781522505655

Published by Information Science Reference, 2016

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.

Seller Inventory # 9781522505655

Bibliographic Details

• Title: Pattern Recognition and Classification in Time Series Data
• Publisher: Information Science Reference
• Publication Date: 2016
• Language: English
• ISBN 10: 1522505652
• ISBN 13: 9781522505655
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 21D millimeters 260 millimeters width by 183 millimeters height by 21 millimeters depth
• Weight: 756 grams

About this title

Synopsis

"This book focuses on intelligent methods and techniques for recognizing and storing dynamic patterns, emphasizing topics related to artificial intelligence, pattern management, and algorithm development in addition to practical examples and applications"--

About the Author

Eva Volna is an associate professor at the Department of Computer Science at University of Ostrava, Czech Republic. Her interests include artificial intelligence, artificial neural networks, evolutionary algorithms, and cognitive science. She is an author of more than 50 papers in technical journals and proceedings of conferences.

Martin Kotyrba is an assistant professor at the Department of Computer Science at the University of Ostrava, Czech Republic. His interests include artificial intelligence, formal logic, soft computing methods and fractals. He is an author of more than 30 papers in conference proceedings.

Michal Janosek is an assistant professor at the Department of Informatics and Computers at the University of Ostrava, Czech Republic. His interests include artificial intelligence, multi-agent systems, modeling and simulations. He is an author of more than 20 papers in proceedings of conferences.