432,80 €
480,89 €
-10% with code: EXTRA
Pattern Recognition and Classification in Time Series Data
Pattern Recognition and Classification in Time Series Data
432,80
480,89 €
  • We will send in 10–14 business days.
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…
  • Publisher:
  • Year: 2016
  • Pages: 296
  • ISBN-10: 1522505652
  • ISBN-13: 9781522505655
  • Format: 17.8 x 25.4 x 1.8 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Pattern Recognition and Classification in Time Series Data (e-book) (used book) | bookbook.eu

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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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  • Publisher:
  • Year: 2016
  • Pages: 296
  • ISBN-10: 1522505652
  • ISBN-13: 9781522505655
  • Format: 17.8 x 25.4 x 1.8 cm, hardcover
  • Language: English English

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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