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VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 10 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
IADIS
2008
15 years 7 months ago
Data Mining In Marketing Acquisition CAMPAIGNS
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
Krzysztof Dzieciolowski, Dennis Kira
150
Voted
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
16 years 5 days ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
ICDM
2006
IEEE
148views Data Mining» more  ICDM 2006»
15 years 12 months ago
Data Mining Approaches to Criminal Career Analysis
— Narrative reports and criminal records are stored digitally across individual police departments, enabling the collection of this data to compile a nation-wide database of crim...
Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters...
TKDE
2002
168views more  TKDE 2002»
15 years 5 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han