Coefficient of Variation and Machine Learning Applications

K. (Deaprtmet of Computer Science and Engineering, NIT Andhra Pradesh, India) Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao

ISBN 10: 0367273284 / ISBN 13: 9780367273286

Published by Taylor & Francis Ltd, 2019

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 35867816/2

Bibliographic Details

• Title: Coefficient of Variation and Machine Learning Applications
• Publisher: Taylor & Francis Ltd
• Publication Date: 2019
• Language: English
• ISBN 10: 0367273284
• ISBN 13: 9780367273286
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.

About the Author

K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao