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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 11 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
RECONFIG
2009
IEEE
182views VLSI» more  RECONFIG 2009»
14 years 5 months ago
Scalability Studies of the BLASTn Scan and Ungapped Extension Functions
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
Siddhartha Datta, Ron Sass
BMCBI
2005
84views more  BMCBI 2005»
13 years 10 months ago
A note on generalized Genome Scan Meta-Analysis statistics
Background: Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently desc...
James A. Koziol, Anne C. Feng
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 5 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja
VLDB
1997
ACM
175views Database» more  VLDB 1997»
14 years 3 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