Coefficient of Variation and Machine Learning Applications  book cover
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1st Edition

Coefficient of Variation and Machine Learning Applications





ISBN 9780429296185
Published November 20, 2019 by CRC Press
148 Pages 30 B/W Illustrations

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Book Description

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.

Table of Contents

Chapter 1 Introduction to Coef¿cient of Variation

1.1 INTRODUCTION

1.2 COEFFICIENT OF VARIATION

1.3 NORMALIZATION 3

1.4 PROPERTIES OF COEFFICIENT OF VARIATION

1.5 LIMITATIONS OF COEFFICIENT OF VARIATION

1.6 CV INTERPRETATION

1.7 SUMMARY

1.8 EXERCISES

Chapter 2 CV Computational Strategies

2.1 INTRODUCTION

2.2 CV COMPUTATION OF POOLED DATA

2.3 COMPARISON OF CV WITH ENTROPYAND GINI INDEX

2.4 CV FOR CATEGORICAL VARIABLES

2.5 CVCOMPUTATIONBYMAP-REDUCESTRATEGIES

2.6 SUMMARY

2.7 EXERCISES

Chapter 3 Image Representation

3.1 INTRODUCTION

3.2 CVIMAGE

3.3 CV FEATURE VECTOR

3.4 SUMMARY

3.5 EXERCISES

Chapter 4 Supervised Learning

4.1 INTRODUCTION

4.2 PRE-PROCESSING (DECISION ATTRIBUTE CALIBRATION)

4.3 CONDITIONAL CV

4.4 CVGAIN (CV FOR ATTRIBUTE SELECTION)

4.5 ATTRIBUTE ORDERING WITH CVGAIN

4.6 CVDT FOR CLASSIFICATION

4.7 CVDT FOR REGRESSION

4.8 CVDT FOR BIG DATA

4.9 FUZZY CVDT

4.10 SUMMARY

4.11 EXERCISES

Chapter 5 Applications

5.1 IMAGE CLUSTERING

5.2 IMAGE SEGMENTATION

5.3 FEATURE SELECTION

5.4 MOOD ANALYSIS

5.5 CV FOR OPTIMIZATION

5.6 HEALTH CARE

5.7 SOCIAL NETWORK

5.8 SUMMARY

5.9 EXERCISES

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