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portada Outlier Analysis. A Study of Different Techniques
Type
Physical Book
Publisher
Language
English
Pages
34
Format
Paperback
Dimensions
21x14.8x0.2 cm
Weight
0.06 kg.
ISBN13
9783346702463

Outlier Analysis. A Study of Different Techniques

Soubhik Chakraborty (Author) · Priyabrata Mishra (Author) · Grin Verlag · Paperback

Outlier Analysis. A Study of Different Techniques - Chakraborty, Soubhik ; Mishra, Priyabrata

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NT$ 788
NT$ 788

Synopsis "Outlier Analysis. A Study of Different Techniques"

Master's Thesis from the year 2022 in the subject Mathematics - Statistics, grade: 9.0, course: IMSc Mathematics and Computing, language: English, abstract: In any application that involve data, outlier detection is critical. In the data mining and statistics literature, outliers are sometimes known as abnormalities, discordants, deviants, or anomalies. The data in most applications are generated by one or more generating processes, which may reflect system activity or observations about entities. This monograph explains what an outlier is and how it can be used in a variety of industries in the first chapter of the report. This chapter also goes over the various types of outliers. Outlier analysis is an important part of research or industry that involves a large amount of data, as described in Chapter 2; it also describes how outliers are related to different data models. Chapter 3 covers Univariate Outlier Detection and methods for completing this task. Multivariate Outlier Detection techniques such as Mahalanobis distance and isolation forest are covered in Chapter 4. Finally, in Chapter 5, the Python programming language has been used to analyse and detect existing outliers in a public dataset. We hope this monograph would be useful to students and practitioners of statistics and other fields involving numerical data analytics.

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