Publications

Articles:

  1. Bazan, J.G.; Bazan-Socha, S.; Buregwa-Czuma, S.; Dydo, L.; Rzasa, W.; Skowron, A.: A Classifier Based on a Decision Tree with Verifying Cuts, Fundamenta Informaticae Vol. 143 (1-2) pp. 1-18, IOS Press, 2016, DOI 10.3233/FI-2016-1300
  2. Patrick G. Clarka, Jerzy W. Grzymala-Bussea, Wojciech Rzasa : Mining incomplete data with singleton, subset and concept probabilistic approximations, Information Sciences vol. 280, 2014, Elsevier, ss. 368–384
  3. J. Grzymała-Busse, W. Rząsa: Definability and Other Properties of Approximations for Generalized Indiscernibility Relations. In: J.F. Peters, A. Skowron (Eds.) Transactions on Rough Sets XI, Lecture Notes in Computer Science 5946. Berlin Heidelberg: Springer-Verlag, 2010, pp. 14 - 39.
  4. J. Grzymała-Busse, W. Grzymała-Busse, Z. Hippe, W. Rząsa: An Improved Comparison of Three Rough Set Approaches to Missing Attribute Values Control and Cybernetics, Vol 39(2010) No. 2, pp. 469-486.
  5. J. Grzymała-Busse, W. Rząsa: A Local Version of the MLEM2 Algorithm for Rule Induction Fundamenta Informaticae, Vol. 100, No. 1 - 4, 2010, IOS Press, Amsterdam, pp. 99-116.
  6. J. Grzymała-Busse, W. Rząsa: Local and Global Approximations for Incomplete Data. In: J.F. Peters, A. Skowron (Eds.) Transactions on Rough Sets vol. 8,Lecture Notes in Artificial Intelligence 5084. Berlin Heidelberg: Springer-Verlag, 2008, pp. 21 - 34.
  7. J. Grzymała-Busse, W. Rząsa: Approximation Space and LEM2-like Algorithms for Computing Local Coverings Fundamenta Informaticae, Vol. 85, No. 1 - 4, 2008, IOS Press, Amsterdam, pp. 205-217.
  8. Z. Suraj, J.F. Peters, W. Rząsa: A Comparison of Different Decision Algorithms Used in Volumetric Storm Cells Classification. Fundamenta Informaticae, Vol. 51, No. 1- 2, 2002 , IOS Press, Amsterdam, pp. 201-214.
  9. Clark P.,  Grzymala-Busse J., Rzasa W.: Consistency of incomplete data, Information Sciences 322 (2015) 197-222
  10. Clark P.,  Grzymala-Busse J., Rzasa W.: A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations, Journal of Intelligent Information System DOI 10.1007/s10844-015-0385-0

Materialsof Foreign Conferences:

  1. Buregwa-Czuma S., BazanJ.G., Bazan-Socha S., Rzasa W., DydoL., Skowron A.: Resolving the conflicts between cuts in a decision tree with verifying cuts.In: Polkowski, L., Yao, Y., Artiemjew, P., Ciucci, D., Liu, D., Slęzak, D., Zielosko, B. (Eds.) Rough Sets International Joint Conference, IJCRS 2017,Olsztyn, Poland, July 3-7, 2017, Proceedings Part II, Lecture Notes in Artificial Intelligence 10314 Springer 2017, ISBN 978-3-319-60839-6, pp.403-422.
  2. W. Rząsa, Z. Suraj: A New Method for Determining of Extensions and Restrictions of Informtion Systems. In: J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (Eds.), Rough Sets and Current Trends in Computing (RSCTC'2002), Lecture Notes in Artificial Intelligence 2475. Berlin: Springer-Verlag, 2002, pp. 197-204
  3. J.F. Peters, A. Skowron, Z. Suraj, M. Borkowski, W. Rząsa: Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach. In: J. Alpigini, J.F. Peters, A. Skowron, N. Zhong (Eds.), Rough Sets and Current Trends in Computing (RSCTC'2002), Lecture Notes in Artificial Intelligence 2475 Berlin: Springer-Verlag, 2002, pp. 304-311.
  4. W. Rząsa, A. Paluch, Z. Suraj: Decision Rules in Multivalued Information Systems. In: S. Tsumoto et. al. (Eds.) Rough Sets and Current Trends in Computing (RSCTC'2004), Lecture Notes in Artificial Intelligence 3066. Berlin Heidelberg: Springer-Verlag, 2004, pp. 504-509.
  5. A. Paluch, W. Rząsa, Z. Suraj.: Presentation of the System for Temporal Data Analysis. In: G. Lindemann, H.D. Burkhard, L. Czaja,, A. Skowron, H. Schlingloff, Z. Suraj (Eds.), Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P'2004), Caputh, Germany, September 24-26, 2004, Vol. 3, pp. 531-541.
  6. J. Grzymała-Busse, W. Rząsa: Local and Global Approximations for Incomplete Data. In: S. Greco, Y. Hata, S. Hirano et. al. (Eds.) Rough Sets and Current Trends in Computing (RSCTC'2006), Lecture Notes in Artificial Intelligence 4259. Berlin Heidelberg: Springer-Verlag, 2006, pp. 244 - 253.
  7. Z. Suraj, W. Rząsa: Towards Quantitative Analysis of Decision Systems: A Rough Set Approach. Proceedings of the Eleventh International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'2006), Paris, France, July 2 - 7, 2006, Vol. 3, pp. 2610 - 2617.
  8. J.W. Grzymała-Busse, W.J. Grzymała-Busse, Z. Hippe, W. Rząsa: A Comparison of Three Approximation Strategies for Incomplete Data Sets. In: T.Y. Lin, X.H. Hu, J.C. Han, X.J. Shen,and Z.J. Li (Eds.) Proceedings of 2007 IEEE International Conference on Granular Computing, IEEE Computer Society Press, pp. 301-306.
  9. J.W. Grzymała-Busse, W. Rząsa: Definability of Approximations for a Generalization of the Indiscernibility Relation. Proceedings of the First IEEE Symposium on Foundations of Computational Intelligence (FOCI'2007), Honolulu, April 1 - 5, 2007 pp. 65 - 72.
  10. J.W. Grzymała-Busse, W.J. Grzymała-Busse, Z. Hippe, W. Rząsa: An Improved Comparison of Three Rough Set Approaches to Missing Attribute Values, Intelligent Information Systems 2008, pp. 141-150.
  11. J. Grzymała-Busse, W. Rząsa: Local Approximations. In: H. Yin, E. Corchado (Eds.) Intelligent Data Engineering and Automated Learning - IDEAL 2009ˇ 10th International Conference, Burgos, Spain, September 23-26, 2009, Proceedings, Lecture Notes in Artificial Intelligence 5788. Berlin Heidelberg: Springer-Verlag, 2009, pp. 9 - 16.
  12. J.W. Grzymała-Busse, Z. Hippe, W. Rząsa, S. Vasudevan: A Valued Tolerance Approach to Missing Attribute Values in Data Mining, HSI 2009 - the 2nd IEEE International Conference on Human System Interaction. Proceedings, L. Lo-Bello, G. Ianizzotto (Eds.), pp. 220-227.
  13. Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa: Generalizations of Approximations. In P. Lingras et al. (Eds.): RSKT 2013, LNAI 8171, Springer-Verlag Berlin Heidelberg 2013, 41-52
  14. Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, Dydo, L., Rzasa, W., Skowron, A.: A classifier based on a decision tree with verifying cuts,  In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2014), Chemnitz, Germany, 2014, September 29-October 1, volume 245 of Informatik-Bericht, pages 13-21, Humboldt University, 2014.
  15. Buregwa-Czuma S., BazanJ.G., Bazan-Socha S., Rzasa W., DydoL., Skowron A.: Resolving the conflicts between cuts in a decision tree with verifying cuts.In: Polkowski, L., Yao, Y., Artiemjew, P., Ciucci, D., Liu, D., Slęzak, D., Zielosko, B. (Eds.) Rough Sets International Joint Conference, IJCRS 2017,Olsztyn, Poland, July 3-7, 2017, Proceedings Part II, Lecture Notes in Artificial Intelligence 10314 Springer 2017, ISBN 978-3-319-60839-6, pp.403-422.

Materials of Foreign Conferences in Poland:

  1. Dydo L., Bazan J., Buregwa-Czuma S., Rząsa W., Skowron A.: Verifying cuts as a tool for improving a classifier based on a decision tree. (FedCSIS) September 11-14, 2016, Gdańsk, Poland.
  2. Z. Suraj, J.F. Peters, W. Rząsa: A Comparison of Different Decision Algorithms Used in Volumetric Storm Cells Classification In: L. Czaja (Ed.), Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P'2001), Warsaw, Poland, October 3 - 5, 2001, pp. 269-277.
  3. J.F. Peters, A. Skowron, Z. Suraj, W. Rząsa, M. Borkowski: Clustering: A Rough Set Approach to Constructing Information Granules In: Z. Suraj (Ed.),Proceedings of the Sixth International Conference on Soft Computing and Distributed Processing (SCDP'2002), Rzeszow, Poland, June 24-25, 2002, pp. 57-61.
  4. Z. Suraj, W. Rząsa: Volumetric Storm Cell Classification with the Use of Rough Set Methods In: Z. Suraj (Ed.), Proceedings of the Sixth International Conference on Soft Computing and Distributed Processing (SCDP'2002), Rzeszow, Poland, June 24-25, 2002, pp. 70-73.
  5. Z. Suraj, W. Rząsa: Decision System Analysis According to the Relaxed Consistency Principle. International Journal of Information Technology and Intelligent Computing, Vol. 1, No. 1, 2006, pp. 113 - 125.
  6. J.W. Grzymała-Busse, W. Rząsa: Approximation Space and LEM2-like Algorithms for Local Approximations. Concurrency, Specification and Programming. Proceedings of the CS&P'2007 Workshop, Vol. 1, Łagów, September 27 - 29, 2007 pp. 279 - 289.
  7. J.W. Grzymała-Busse, W. Rząsa: Induction of Decision Rules form Incomplete Data by Modified LEM2 Algorithms. Scientific Bulletin of Chełm. Section of Mathematics and Computer Science, No. 1/2007, 2007, pp. 49 - 60.

Doctoral Dissertation:

W. Rząsa: Globalne i lokalne przybliżenia zbioru; Instytut Podstaw Informatyki Polskiej Akademii Nauk, Warszawa 2009.