A fast multi-resolution method for detection of significant spatial disease clusters

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Neill, Daniel B ^a   Moore, Andrew W ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSE REGION; DENSITY MEASURES; MAXIMUM DENSITY; MAXIMUM SCORE; NOVEL ALGORITHM; OVERLAPPING REGIONS; SPATIAL SCAN STATISTICS; TOTAL COUNTS;

ALGORITHMS;

EID: 84898947558     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. S. Openshaw, et al. 1988. Investigation of leukemia clusters by use of a geographical analysis machine. Lancet 1, 272-273.
2. L. A. Waller, et al. 1994. Spatial analysis to detect disease clusters. In N. Lange, ed. Case Studies in Biometry. Wiley, 3-23.
3. M. Kulldorff and N. Nagarwalla. 1995. Spatial disease clusters: Detection and inference. Statistics in Medicine 14, 799-810.
4. M. Kulldorff. 1999. Spatial scan statistics: models, calculations, and applications. In Glaz and Balakrishnan, eds. Scan Statistics and Applications. Birkhauser: Boston, 303-322.
5. R. Agrawal, et al. 1998. Automatic subspace clustering of high dimensional data for data mining applications. Proc. ACMSIGMOD Intl. Conference on Management of Data, 94-105.
6. S. Goil, et al. 1999. MAFIA: Efficient and scalable subspace clustering for very large data sets. Northwestern University, Technical Report No. CPDC-TR-9906-010.
7. W. Wang, et al. 1997. STING: A statistical information grid approach to spatial data mining. Proc. 23rd Conference on Very Large Databases, 186-195.
8. M. Kulldorff. 1997. A spatial scan statistic. Communications in Statistics: Theory and Methods 26(6), 1481-1496.
9. F. P. Preparata and M. I. Shamos. 1985. Computational Geometry: An Introduction. Springer-Verlag: New York.
10. K. Deng and A. W. Moore. 1995. Multiresolution instance-based learning. Proc. 12th Intl. Joint Conference on Artificial Intelligence, 1233-1239.
11. H. Samet. 1990. The Design and Analysis of Spatial Data Structures. Addison-Wesley: Reading.