Pattern Recognition and Classification in Time Series Data (Advances in Computational Intelligence and Robotics)

ISBN 10: 1522505652 / ISBN 13: 9781522505655

Published by Information Science Reference, 2016

About this Item

This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donā t hesitate to reach out. Thank you for shopping with us and supporting small businessā happy reading!

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Bibliographic Details

• Title: Pattern Recognition and Classification in Time Series Data (Advances in Computational Intelligence and Robotics)
• Publisher: Information Science Reference
• Publication Date: 2016
• Language: English
• ISBN 10: 1522505652
• ISBN 13: 9781522505655
• Binding: Hardcover
• Condition: good

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.