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» Spatial Scan Statistics for Graph Clustering
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SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
11 years 6 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
NIPS
2004
11 years 6 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
11 years 9 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
12 years 5 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
11 years 10 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
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