TY  - BOOK
AU  - Hima Bindu,K.
AU  - Morusupalli,Raghava
AU  - Dey,Nilanjan
AU  - Rao,C.Raghavendra
TI  - Coefficient of Variation and Machine Learning Applications
T2  - Intelligent Signal Processing and Data Analysis Ser
SN  - 9781000752229
AV  - QA76.95 
U1  - 519.538 23
PY  - 2019///
CY  - Milton
PB  - CRC Press LLC
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - COMPUTERS / Computer Engineering
KW  - MATHEMATICS / Probability & Statistics / General
KW  - Analysis of variance
KW  - Big data
KW  - Statistical methods
N1  - Description based upon print version of record
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429296185
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -