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Details for article 3 of 6 found articles
| Title: |
Detecting graph-based spatial outliers |
| Author: |
Shashi Shekhar Chang-Tien Lu Pusheng Zhang |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 6 (2002) nr. 5 pages 451-468 |
| Year: |
2002-12-28 |
| Contents: |
Identification of outliers can lead to the discovery of unexpected and interesting knowledge. Existing methods are designed for detecting spatial outliers in multidimensional geometric data sets, where a distance metric is available. In this paper, we focus on detecting spatial outliers in graph structured data sets. We define statistical tests, analyze the statistical foundation underlying our approach, design a fast algorithm to detect spatial outliers, and provide cost models for outlier detection procedures. In addition, we provide experimental results from the application of our algorithm on a Minneapolis-St. Paul (Twin Cities) traffic data set to show its effectiveness and usefulness. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 3 of 6 found articles
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