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RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
RSFDGRC
2005
Springer
117views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Dependency Bagging
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Z...