RSES Documentation

Manuals

RSES 2.2 User's Guide in PDF (almost 100 pages)

There is also an early version of RSES 2.1 Users Manual in Polish

The manual for DIXER

Publications

Below we list some publications from which one may get an idea about RSES and RSESlib methods.

• Jan Bazan, Hung Son Nguyen, Sinh Hoa Nguyen, Piotr Synak, and Jakub Wróblewski. Rough set algorithms in classification problems. In Lech Polkowski, Tsau Young Lin, and Shusaku Tsumoto, editors, Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems, volume 56 of Studies in Fuzziness and Soft Computing, pages 49-88. Physica-Verlag, Heidelberg, Germany, 2000.
• Jan G. Bazan, Marcin S. Szczuka, Jakub Wróblewski. A new version of rough set exploration system. In: James J. Alpigini, James F. Peters, Andrzej Skowron, Ning Zhong, redaktorzy, Third International Conference on Rough Sets and Current Trends in Computing RSCTC, volume 2475, Lecture Notes in Artificial Intelligence,pp. 397-404, Malvern, PA, October 14-16 2002. Springer-Verlag.
• J. Bazan, M. Szczuka (2000),RSES and RSESlib - A Collection of Tools for Rough Set Computations (Postscript). Extended version of paper presented at RSCTC'2000
• J.G. Bazan, Son H. Nguyen, Trung T. Nguyen, A. Skowron and J. Stepaniuk (1998). Decision rules synthesis for object classification. In: E. Orowska (ed.), Incomplete Information: Rough Set Analysis, Physica - Verlag, Heidelberg, pp. 23-57.
• J.G. Bazan (1998). A Comparison of Dynamic and non-Dynamic Rough Set Methods for Extracting Laws from Decision Table. In: L. Polkowski, A. Skowron (eds.), Rough Sets in Knowledge Discovery, Physica - Verlag, Heidelberg, pp. 321-365.
• Jan G. Bazan (1998). Metody wnioskowań aproksymacyjnych dla syntezy algorytmów decyzyjnych. Ph. D. thesis, supervisor A. Skowron, Warsaw University, pp. 1-179. (In Polish only)
• Hoa S. Nguyen (1999). Data regularity analysis and applications in data mining. Ph. D. thesis, supervisor B. Chlebus, Warsaw University.
• Son H. Nguyen (1997). Discretization of real value attributes. Boolean reasoning approach. Ph. D. thesis, supervisor A. Skowron, Warsaw University
• J. Wróblewski (1998). Genetic algorithms in decomposition and classification problem. In: L. Polkowski and A. Skowron (eds.), Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems, Physica-Verlag, Heidelberg, pp. 471-487
• Hoa S. Nguyen, H. Son Nguyen (1998). Pattern extraction from data. Fundamenta Informaticae 34/1-2, pp. 129-144.
• Hoa S. Nguyen, A. Skowron and P. Synak (1998). Discovery of data patterns with applications to decomposition and classfification problems. In: L. Polkowski and A. Skowron (eds.), Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems, Physica-Verlag, Heidelberg, pp. 55-97.
• Son H. Nguyen and A. Skowron (1997). Quantization of real value attributes: Rough set and boolean reasoning approach. Bulletin of International Rough Set Society 1/1, pp. 5-16.
• Son H. Nguyen (1998). From Optimal Hyperplanes to Optimal Decision Trees. Fundamenta Informaticae 34/1-2, pp. 145-174.
• Son H. Nguyen, Hoa S. Nguyen (1998). Discretization Methods in Data Mining. In: L. Polkowski, A. Skowron (eds.): Rough Sets in Knowledge Discovery. Physica-Verlag, Heidelberg, pp. 451-482.
• Hoa S. Nguyen (1999). Discovery of generalized patterns. Proceedings of the Eleventh International Symposium on Methodologies for Intelligent Systems, Foundations of Intelligent Systems (ISMIS'99), June 8-11, Warsaw, Lecture Notes in Artificial Intelligence 1609, Springer - Verlag, Berlin, pp. 574-582.