Outlier Analysis. A Study of Different Techniques

Masterarbeit, 2022

Leseprobe

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

Ende der Leseprobe aus 28 Seiten

Details

Arbeit zitieren: Priyabrata Mishra (Autor:in)Soubhik Chakraborty (Autor:in), 2022, Outlier Analysis. A Study of Different Techniques, München, GRIN Verlag, https://www.grin.com/document/1254838

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