Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)

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

ISBN 10: 0367273284 / ISBN 13: 9780367273286

Editore: CRC Press, 2019

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Codice articolo SHUB80750

Dati bibliografici

• Titolo: Coefficient of Variation and Machine Learning Applications (Intelligent Signal Processing and Data Analysis)
• Editore: CRC Press
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 0367273284
• ISBN 13: 9780367273286
• Rilegatura: Rilegato
• Condizione: nuovo

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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