Multidimensional similarity structure analysis
Multidimensional similarity structure analysis
C4.5: programs for machine learning
C4.5: programs for machine learning
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Time Complexity of Rough Clustering: GAs versus K-Means
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Computational intelligence techniques: a study of scleroderma skin disease
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Relevant attribute discovery in high dimensional data: application to breast cancer gene expressions
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Data mining of gene expression changes in Alzheimer brain
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Riding Out the Storm: How to Deal with the Complexity of Grid and Cloud Management
Journal of Grid Computing
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This present paper introduces a virtual reality technique for visual data mining on heterogeneous information systems. The method is based on parametrized mappings between heterogeneous spaces with extended information systems and a virtual reality space. They can be also constructed for unions of heterogeneous and incomplete data sets together with knowledge bases composed by decision rules. This approach has been applied successfully to a wide variety of real-world domains and examples are presented from genomic research and geology.