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.
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