Pattern Recognition and Classification in Time Series Data by Eva Volna
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.-
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Eva Volna, University of Ostrava, Czech Republic.
Martin Kotyrba, University of Ostrava, Czech Republic.
Michal Janosek, University of Ostrava, Czech Republic.
Martin Kotyrba, University of Ostrava, Czech Republic.
Michal Janosek, University of Ostrava, Czech Republic.
| SKU | Unavailable |
| ISBN 13 | 9781522505655 |
| ISBN 10 | 1522505652 |
| Title | Pattern Recognition and Classification in Time Series Data |
| Author | Eva Volna |
| Series | Advances In Computational Intelligence And Robotics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2016-07-30 |
| Number of pages | 213 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |