A trimmed mean approach to finding spatial outliers
Intelligent Data Analysis
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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 |
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spatial data mining spatial error model spatial outlier detection trimmed mean |
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spatial data mining spatial error model spatial outlier detection trimmed mean Hu, T. Sung, S.Y. A trimmed mean approach to finding spatial outliers |
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Intelligent Data Analysis |
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COMPUTER SCIENCE |
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COMPUTER SCIENCE Hu, T. Sung, S.Y. |
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Article |
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Hu, T. Sung, S.Y. |
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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 |
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A trimmed mean approach to finding spatial outliers |
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A trimmed mean approach to finding spatial outliers |
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trimmed mean approach to finding spatial outliers |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/77807 |
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