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» A rough set approach to multiple dataset analysis
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RSKT
2009
Springer
15 years 4 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
ICAISC
2004
Springer
15 years 2 months ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M....
85
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RSEISP
2007
Springer
15 years 3 months ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
BMCBI
2010
139views more  BMCBI 2010»
14 years 9 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
FUZZIEEE
2007
IEEE
15 years 3 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen