Outlier Analysis A Study of Different Techniques is popular PDF and ePub book, written by Priyabrata Mishra in 2022-08-25, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Outlier Analysis A Study of Different Techniques can be Read Online from any device for your convenience.

Outlier Analysis A Study of Different Techniques Book PDF Summary

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.

Detail Book of Outlier Analysis A Study of Different Techniques PDF

Outlier Analysis  A Study of Different Techniques
  • Author : Priyabrata Mishra
  • Release : 25 August 2022
  • Publisher : GRIN Verlag
  • ISBN : 9783346702456
  • Genre : Mathematics
  • Total Page : 34 pages
  • Language : English
  • PDF File Size : 9,6 Mb

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