A trimmed mean approach to finding spatial outliers

Intelligent Data Analysis

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Main Authors: Hu, T., Sung, S.Y.
Other Authors: COMPUTER SCIENCE
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/77807
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-778072015-01-06T06:40:02Z A trimmed mean approach to finding spatial outliers Hu, T. Sung, S.Y. COMPUTER SCIENCE spatial data mining spatial error model spatial outlier detection trimmed mean Intelligent Data Analysis 8 1 79-95 2014-07-04T03:08:57Z 2014-07-04T03:08:57Z 2004 Article Hu, T.,Sung, S.Y. (2004). A trimmed mean approach to finding spatial outliers. Intelligent Data Analysis 8 (1) : 79-95. ScholarBank@NUS Repository. 1088467X http://scholarbank.nus.edu.sg/handle/10635/77807 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic spatial data mining
spatial error model
spatial outlier detection
trimmed mean
spellingShingle spatial data mining
spatial error model
spatial outlier detection
trimmed mean
Hu, T.
Sung, S.Y.
A trimmed mean approach to finding spatial outliers
description Intelligent Data Analysis
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Hu, T.
Sung, S.Y.
format Article
author Hu, T.
Sung, S.Y.
author_sort Hu, T.
title A trimmed mean approach to finding spatial outliers
title_short A trimmed mean approach to finding spatial outliers
title_full A trimmed mean approach to finding spatial outliers
title_fullStr A trimmed mean approach to finding spatial outliers
title_full_unstemmed A trimmed mean approach to finding spatial outliers
title_sort trimmed mean approach to finding spatial outliers
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/77807
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