Abstract. RSCTC'2010 Discovery Challenge was a special event of Rough Sets and Current Trends in Computing conference. The challenge was organized in the form of an interactive on-line competition, at TunedIT.org platform, in days between Dec 1, 2009 and Feb 28, 2010. The task was related to feature selection in analysis of DNA microarray data and classification of samples for the purpose of medical diagnosis or treatment. Prizes were awarded to the best solutions. This paper describes organization of the competition and the winning solutions.
All eight possible extended rough set models in incomplete information systems are proposed. By analyzing existing extended models and technical methods of rough set theory, the strategy of model extension is found to be suitable for processing incomplete information systems instead of filling possible values for missing attributes. After analyzing the definitions of existing extended models, a new general extended model is proposed. The new model is a generalization of indiscernibility relations, tolerance relations and nonsymmetric similarity relations. Finally, suggestions for further study of rough set theory in incomplete information systems are put forward.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.