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KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 8 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj
DGO
2003
79views Education» more  DGO 2003»
15 years 6 months ago
Finding Outliers in Models of Spatial Data
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
David W. Scott, J. Blair Christian
CAISE
2004
Springer
15 years 10 months ago
The GMD Data Model and Algebra for Multidimensional Information
In this paper we introduce GMD, an abstract but rich data model for representing multidimensional information, equipped with logicbased semantics and seamlessly integrated with a f...
Enrico Franconi, Anand Kamble
TGIS
2002
137views more  TGIS 2002»
15 years 4 months ago
Spatio-Temporal Object-Oriented Data Model for Disaggregate Travel Behavior
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...
WSC
2004
15 years 6 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer