Transactions on Machine Learning and Data Mining (ISSN: 1865-6781)
Volume 5 - Number 1 - July 2012 - Pages 1-2
Editorial
A.Krzyżak
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
Abstract
Special issue of “Transactions on Machine Learning and Data Mining” includes three papers spanning a wide spectrum of data mining and machine learning fields. The first paper applies contrasting correlations between databases to detect changes of interest. The second paper uses frequent sequential patterns to extract sets of connected pixels to reveal meaningful patterns in satellite radar images of agriculture cultivated areas. The third paper is concerned with recognition of wood species using invariant features based on pore distribution in wood microscopic images. An expert system based on the rules extracted from C4.5 classification tree is proposed and tested with real data.
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