A local version of the MLEM2 algorithm for rule induction JW Grzymala-Busse, W Rzasa Fundamenta Informaticae 100 (1-4), 99-116, 2010 | 56 | 2010 |
Local and global approximations for incomplete data JW Grzymała-Busse, W Rzasa Transactions on Rough Sets VIII, 21-34, 2008 | 54 | 2008 |
Local and global approximations for incomplete data JW Grzymala-Busse, W Rzasa International Conference on Rough Sets and Current Trends in Computing, 244-253, 2006 | 54 | 2006 |
Clustering: A rough set approach to constructing information granules JF Peters, A Skowron, Z Suraj, W Rzasa, M Borkowski Soft Computing and Distributed Processing, Proceedings of 6th International …, 2002 | 46 | 2002 |
Definability and other properties of approximations for generalized indiscernibility relations JW Grzymala-Busse, W Rzasa Transactions on Rough Sets XI, 14-39, 2010 | 41 | 2010 |
Mining incomplete data with singleton, subset and concept probabilistic approximations PG Clark, JW Grzymala-Busse, W Rzasa Information Sciences 280, 368-384, 2014 | 37 | 2014 |
Consistency of incomplete data PG Clark, JW Grzymala-Busse, W Rzasa Information Sciences 322, 197-222, 2015 | 21 | 2015 |
A new method for determining of extensions and restrictions of information systems W Rzcasa, Z Suraj Rough Sets and Current Trends in Computing: Third International Conference …, 2002 | 21 | 2002 |
Definability of approximations for a generalization of the indiscernibility relation JW GrzymalaBusse, W Rzasa 2007 IEEE Symposium on Foundations of Computational Intelligence, 65-72, 2007 | 20 | 2007 |
A classifier based on a decision tree with verifying cuts JG Bazan, S Bazan-Socha, S Buregwa-Czuma, L Dydo, W Rzasa, ... Fundamenta Informaticae 143 (1-2), 1-18, 2016 | 19 | 2016 |
Application of interval-valued aggregation to optimization problem of k− NN classifiers for missing values case U Bentkowska, JG Bazan, W Rząsa, L Zarȩba Information Sciences 486, 434-449, 2019 | 17 | 2019 |
An improved comparison of three rough set approaches to missing attribute values J Grzymala-Busse, W Grzymala-Busse, Z Hippe, W Rząsa Control and Cybernetics 39 (2), 469-486, 2010 | 14 | 2010 |
Measures of inclusion and closeness of information granules: A rough set approach JF Peters, A Skowron, Z Suraj, M Borkowski, W Rzcasa Rough Sets and Current Trends in Computing: Third International Conference …, 2002 | 11 | 2002 |
A comparison of different decision algorithms used in volumetric storm cells classification Z Suraj, JF Peters, W Rzasa Fundamenta Informaticae 51 (1-2), 201-214, 2002 | 8 | 2002 |
The stability of local properties of fuzzy relations under ordinal equivalence U Bentkowska, B Pȩkala, W Rząsa Information Sciences 491, 265-278, 2019 | 7 | 2019 |
The distributivity law as a tool of k-NN classifiers’ aggregation: mining a cyber-attack data set E Rak, JG Bazan, A Szczur, W Rząsa 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020 | 6 | 2020 |
Aggregation of Fuzzy Equivalences in Data Exploration by kNN Classifier A Król, W Rząsa, P Grochowalski 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020 | 6 | 2020 |
Resolving the conflicts between cuts in a decision tree with verifying cuts S Buregwa-Czuma, JG Bazan, S Bazan-Socha, W Rzasa, L Dydo, ... Rough Sets: International Joint Conference, IJCRS 2017, Olsztyn, Poland …, 2017 | 6 | 2017 |
A valued tolerance approach to missing attribute values in data mining JW Grzymala-Busse, ZS Hippe, W Rzasa, S Vasudevan 2009 2nd Conference on Human System Interactions, 220-227, 2009 | 6 | 2009 |
Decision rules in multivalued decision systems W Rzasa, A Paluch, Z Suraj Rough Sets and Current Trends in Computing: 4th International Conference …, 2004 | 6 | 2004 |