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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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116
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DASFAA
2008
IEEE
109views Database» more  DASFAA 2008»
15 years 10 months ago
Discovering Spatial Interaction Patterns
Abstract. Advances in sensing and satellite technologies and the growth of Internet have resulted in the easy accessibility of vast amount of spatial data. Extracting useful knowle...
Chang Sheng, Wynne Hsu, Mong Lee, Anthony K. H. Tu...
152
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MLDM
2005
Springer
15 years 9 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
INFORMATICALT
2007
71views more  INFORMATICALT 2007»
15 years 3 months ago
Forecast Model of Impact of Meteorological Factors on Coronary Artery Disease Patients
Abstract. A medical-meteorological weather assessment using hybrid spatial classification of synoptic and meteorological data was done. Empirical models for assessment as well as ...
Arvydas Martinkenas, Vytautas Kaminskas, Giedrius ...
134
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CTCS
1987
Springer
15 years 7 months ago
Good Functors... are Those Preserving Philosophy
of this paper is to prevent the abstract data type researcher from an improper, naive use of category theory. We mainly emphasize some unpleasant properties of the synthesis funct...
Gilles Bernot
AI
2011
Springer
14 years 10 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...