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GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
16 years 7 days ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
PKDD
2005
Springer
97views Data Mining» more  PKDD 2005»
16 years 6 days ago
Frequency-Based Separation of Climate Signals
Abstract. The paper presents an example of exploratory data analysis of climate measurements using a recently developed denoising source separation (DSS) framework. We analysed a c...
Alexander Ilin, Harri Valpola
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
16 years 6 days ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta
164
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RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
16 years 5 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
100views Data Mining» more  RSFDGRC 2005»
16 years 5 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
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