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A Domain Knowledge as A Tool For Improving Classifiers

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Show simple item record Bazan, Jan. G. Buregwa-Czuma, Sylwia Jankowski, Andrzej 2014-11-14T17:16:14Z 2014-11-14T17:16:14Z 2013
dc.description.abstract This paper investigates the approaches to an improvement of classifiers quality through the application of a domain knowledge. The expertise may be utilizable on several levels of decision algorithms such as: feature extraction, feature selection, a definition of~temporal patterns used in an approximation of the concepts, especially of the complex spatio-temporal ones, an assignment of an object to the concept and a measurement of the objects similarity. The domain knowledge incorporation results then in the reduction of the size of searched spaces. The work constitutes an overview of classifier building methods efficiently utilizing the expertise, worked out latterly by Professor Andrzej Skowron research group. The methods using domain knowledge intended to enhance the quality of classic classifiers, to identify the behavioral patterns and for automatic planning are discussed. Finally it answers a question whether the methods satisfy the hopes vested in them and indicates the directions for future development. pl_PL.UTF-8
dc.description.sponsorship This work was supported by the Polish National Science Centre grants 2011/01/B/ST6/03867 and 2012/05/B/ST6/03215 as well as by the Polish National Centre for Research and Development (NCBiR) under SYNAT - Grant No. SP/I/1/77065/10 in frame of the strategic scientific research and experimental development program: ``Interdisciplinary System for Interactive Scientific and Scientific-Technical Information''. pl_PL.UTF-8
dc.language.iso eng pl_PL.UTF-8
dc.publisher IOS Press pl_PL.UTF-8
dc.subject rough set pl_PL.UTF-8
dc.subject concept approximation pl_PL.UTF-8
dc.subject ontology of concepts pl_PL.UTF-8
dc.subject discretization pl_PL.UTF-8
dc.subject behavioral pattern identification pl_PL.UTF-8
dc.subject automated planning pl_PL.UTF-8
dc.title A Domain Knowledge as A Tool For Improving Classifiers pl_PL.UTF-8
dc.type article pl_PL.UTF-8

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