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» Using minimum description length for process mining
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NIPS
2000
14 years 11 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
MLDM
2005
Springer
15 years 3 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ACIVS
2007
Springer
15 years 4 months ago
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
Romulo Pinho, Jan Sijbers, Toon Huysmans
FCCM
2006
IEEE
170views VLSI» more  FCCM 2006»
15 years 1 months ago
An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...
Zachary K. Baker, Viktor K. Prasanna
96
Voted
EDBT
2004
ACM
110views Database» more  EDBT 2004»
15 years 10 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...