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Outlier Analysis. A Study of Different Techniques


Master's Thesis, 2022

28 Pages, Grade: 9.0


Excerpt


Table of Contents

A STUDY OF DIFFERENT OUTLIER ANALYSIS TECHNIQUES

PREFACE

ACKNOWLEDGEMENT

LIST OF FIGURES

CHAPTER 1: WHAT IS AN OUTLIER & ITS TYPES
Types of Outliers
Global Outliers
Contextual Outliers
Collective Outlier

CHAPTER 2: OUTLIER DETECTION IMPORTANCE & ITS CONNECTION WITH DATA MODELS
Importance of Outlier Detection
Connection of Outliers with Data Models

CHAPTER 3: UNIVARIATE OUTLIER DETECTION
Standard Deviation Method
Z-Score method
Modified Z-Score method
Interquartile Range (IQR) Method

CHAPTER 4: MULTIVARIATE OUTLIER DETECTION
The Mahalanobis Distance
Outlier Detection using Isolation Forest

CHAPTER 5: OUTLIER DETECTION USING A DATASET
Dataset Details
Data Preprocessing
Results

CONCLUSION

REFERENCES

Excerpt out of 28 pages

Details

Title
Outlier Analysis. A Study of Different Techniques
Course
IMSc Mathematics and Computing
Grade
9.0
Authors
Year
2022
Pages
28
Catalog Number
V1254838
ISBN (eBook)
9783346702456
ISBN (Book)
9783346702463
Language
English
Keywords
outlier, analysis, study, different, techniques
Quote paper
Priyabrata Mishra (Author)Soubhik Chakraborty (Author), 2022, Outlier Analysis. A Study of Different Techniques, Munich, GRIN Verlag, https://www.grin.com/document/1254838

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