Read, S., Bath, P.A., Willett, P. and Maheswaran, R. (2010) A Power-Enhanced Algorithm for Spatial Anomaly Detection in Binary Labelled Point Data Using the Spatial Scan Statistic [postprint]. In: 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sept 8th-10th, Cardiff UK. 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sept 8th-10th, 2010, Cardiff, UK. Lecture Notes in Artificial Intelligence, II (6277). Springer Verlag , Berlin . (In Press)
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Text (Post-print of paper to appear in proceedings of KES2010, Sept 8th-10th, Cardiff UK (LNAI, Sringer Verlag))
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Abstract
This paper presents a novel modification to an existing algorithm for spatial anomaly detection in binary labeled point data sets, using the Bernoulli version of the Spatial Scan Statistic. We identify a potential ambiguity in p-values produced by Monte Carlo testing, which (by the selection of the most conservative p-value) can lead to sub-optimal power. When such ambiguity occurs, the modification uses a very inexpensive secondary test to suggest a less conservative p-value. Using benchmark tests, we show that this appears to restore power to the expected level, whilst having similarly retest variance to the original. The modification also appears to produce a small but significant improvement in overall detection performance when multiple anomalies are present.
| Item Type: | Proceedings Paper |
|---|---|
| Copyright, Publisher and Additional Information: | This paper will appear in 'Lecture Notes in Artificial Intelligence'. Uploaded in accordance with the publisher's self-archiving policy. The published paper will be available from www.springerlink.com |
| Keywords: | spatial scan statistic, bernoulli, power, benchmark testing, multiple clusters |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Section of Public Health (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
| Depositing User: | Dr Simon Read |
| Date Deposited: | 21 Jul 2010 10:37 |
| Last Modified: | 08 Feb 2013 17:00 |
| Status: | In Press |
| Publisher: | Springer Verlag |
| Refereed: | Yes |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/11053 |
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A Power-Enhanced Algorithm for Spatial Anomaly Detection in Binary Labelled Point Data Using the Spatial Scan Statistic [postprint]. (deposited 21 Jul 2010 10:38)
- A Power-Enhanced Algorithm for Spatial Anomaly Detection in Binary Labelled Point Data Using the Spatial Scan Statistic [postprint]. (deposited 21 Jul 2010 10:37) [Currently Displayed]
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