A Power-Enhanced Algorithm for Spatial Anomaly Detection in Binary Labelled Point Data Using the Spatial Scan Statistic [postprint]

Read, S., Bath, P.A., Willett, P. et al. (1 more author) (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 , pp. 163-172.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Read, S. (simon.read@sheffield.ac.uk)
  • Bath, P.A. (p.a.bath@sheffield.ac.uk)
  • Willett, P. (p.willett@sheffield.ac.uk)
  • Maheswaran, R. (r.maheswaran@sheffield.ac.uk)
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
Dates:
  • Published: 8 September 2010
Institution: The University of Sheffield
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)
Funding Information:
Funder
Grant number
Medical Research Council
G0500554
Depositing User: Dr Simon Read
Date Deposited: 21 Jul 2010 10:37
Last Modified: 13 May 2014 09:40
Published Version: http://dx.doi.org/10.1007/978-3-642-15390-7_17
Status: Published
Publisher: Springer Verlag
Series Name: Lecture Notes in Artificial Intelligence
Refereed: Yes
Open Archives Initiative ID (OAI ID):

Download

Filename: KES2010_paper.pdf

Description: Post-print of paper to appear in proceedings of KES2010, Sept 8th-10th, Cardiff UK (LNAI, Sringer Verlag)

Export

Statistics