K. Hima Bindu,
Raghava Morusupalli,
M Raghava,
Nilanjan Dey,
C. Raghavendra Rao
e.a.
Coefficient of Variation and Machine Learning Applications
Paperback Engels 2021 9781032084190Levertijd ± 8 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9781032084190
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:148
Uitgever:Taylor & Francis Ltd
Hoofdrubriek:Wetenschap en techniek, Computer en informatica
Lezersrecensies
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Inhoudsopgave
1. Introduction to Statistical Dispersion 2. Coefficient of Variation 3. Coefficient of Variation Computational Strategies 4. Coefficient of Variation Based Image Representation 5. Coefficient of Variation based Decision Tree (CvDT) 6. Some Applications.
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