Time Series Clustering and Classification
by Elizabeth Ann Maharaj 2020-07-24 11:28:21
image1
The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniq... Read more
The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features Provides an overview of the methods and applications of pattern recognition of time series Covers a wide range of techniques, including unsupervised and supervised approaches Includes a range of real examples from medicine, finance, environmental science, and more R and MATLAB code, and relevant data sets are available on a supplementary website Less
  • Publication date
  • Language
  • ISBN
  • March 19, 2019
  • eng
  • 9780429608827
Elizabeth Ann Maharaj is an Associate Professor in the Department of Econometrics and Business Statistics at Monash University, Australia. She has a Ph.D. from Monash University on the Pattern Recogni...
Compare Prices
Available Discount
12 % OFF
12% off Academic Book Titles (ebooks.com)

See More Details

Description: Back to School Promotion at eBooks.com. 12% off Academic book titles. Landing page is on our academics category page. Static image.

10 % OFF
Save 10% OFF on Student Text Books (ebooks.com)

See More Details

Description: Purchase textbooks at student discounts!

20 % OFF
20% Off on selected Categories

See More Details

Description: 20% Off these Categories- Body Mind & Spirit, Family & Relationships, Foreign Language Study, History, Sports & Recreation. Offer Lasts all through January.

Related Books