Outlier detection using statistical models

This thesis reviews various approaches for outlier detection problem. Several popularly used methods are included, re-examined and compared in this work, providing a deep insight into the frontier of the outlier detecting.

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Main Author: You, Yuan
Other Authors: Lian Heng
Format: Theses and Dissertations
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/62204
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-622042023-02-28T23:56:10Z Outlier detection using statistical models You, Yuan Lian Heng School of Physical and Mathematical Sciences DRNTU::Science This thesis reviews various approaches for outlier detection problem. Several popularly used methods are included, re-examined and compared in this work, providing a deep insight into the frontier of the outlier detecting. Master of Science 2015-02-25T07:20:48Z 2015-02-25T07:20:48Z 2014 2014 Thesis http://hdl.handle.net/10356/62204 en 20 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science
spellingShingle DRNTU::Science
You, Yuan
Outlier detection using statistical models
description This thesis reviews various approaches for outlier detection problem. Several popularly used methods are included, re-examined and compared in this work, providing a deep insight into the frontier of the outlier detecting.
author2 Lian Heng
author_facet Lian Heng
You, Yuan
format Theses and Dissertations
author You, Yuan
author_sort You, Yuan
title Outlier detection using statistical models
title_short Outlier detection using statistical models
title_full Outlier detection using statistical models
title_fullStr Outlier detection using statistical models
title_full_unstemmed Outlier detection using statistical models
title_sort outlier detection using statistical models
publishDate 2015
url http://hdl.handle.net/10356/62204
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