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» Learning relational probability trees
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AUSAI
2006
Springer
13 years 11 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 1 months ago
Spatiotemporal Relational Probability Trees: An Introduction
Amy McGovern, Nathan C. Hiers, Matthew W. Collier,...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 7 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...