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OverviewPatterns 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. Full Product DetailsAuthor: Eva Volna , Martin Kotyrba , Michal JanosekPublisher: IGI Global Imprint: IGI Global Dimensions: Width: 15.20cm , Height: 1.80cm , Length: 22.90cm Weight: 0.740kg ISBN: 9781522505655ISBN 10: 1522505652 Pages: 213 Publication Date: 30 July 2016 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationEva Volna, University of Ostrava, Czech Republic. Martin Kotyrba, University of Ostrava, Czech Republic. Michal Janosek, University of Ostrava, Czech Republic. Tab Content 6Author Website:Countries AvailableAll regions |