Rough set approach to incomplete information systems M Kryszkiewicz Information sciences 112 (1-4), 39-49, 1998 | 2010 | 1998 |
Rules in incomplete information systems M Kryszkiewicz Information sciences 113 (3-4), 271-292, 1999 | 928 | 1999 |
Comparative study of alternative types of knowledge reduction in inconsistent systems M Kryszkiewicz International journal of intelligent systems 16 (1), 105-120, 2001 | 424 | 2001 |
Representative association rules M Kryszkiewicz Research and Development in Knowledge Discovery and Data Mining: Second …, 1998 | 130 | 1998 |
Concise representations of association rules M Kryszkiewicz Pattern Detection and Discovery: ESF Exploratory Workshop London, UK …, 2002 | 128 | 2002 |
Concise representation of frequent patterns based on disjunction-free generators M Kryszkiewicz Proceedings 2001 IEEE international conference on data mining, 305-312, 2001 | 124 | 2001 |
Properties of incomplete information systems in the framework of rough sets M Kryszkiewicz Rough sets in knowledge discovery 1, 422-450, 1998 | 120 | 1998 |
Finding reducts in composed information systems M Kryszkiewicz, H Rybinski Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the …, 1994 | 91 | 1994 |
TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality M Kryszkiewicz, P Lasek International Conference on Rough Sets and Current Trends in Computing, 60-69, 2010 | 82 | 2010 |
Concise representation of frequent patterns based on generalized disjunction-free generators M Kryszkiewicz, M Gajek Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference …, 2002 | 79 | 2002 |
Representative association rules and minimum condition maximum consequence association rules M Kryszkiewicz Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998 | 76 | 1998 |
Fast discovery of representative association rules M Kryszkiewicz Rough Sets and Current Trends in Computing: First International Conference …, 1998 | 65 | 1998 |
Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area PS Maciąg, N Kasabov, M Kryszkiewicz, R Bembenik Environmental Modelling & Software 118, 262-280, 2019 | 60 | 2019 |
Unsupervised anomaly detection in stream data with online evolving spiking neural networks PS Maciąg, M Kryszkiewicz, R Bembenik, JL Lobo, J Del Ser Neural Networks 139, 118-139, 2021 | 57 | 2021 |
Maintenance of reducts in the variable precision rough set model M Kryszkiewicz Rough Sets and Data Mining–Analysis of Imperfect Data, 355-372, 1994 | 57 | 1994 |
FUN: fast discovery of minimal sets of attributes functionally determining a decision attribute M Kryszkiewicz, P Lasek Transactions on Rough Sets IX, 76-95, 2008 | 47 | 2008 |
Generation of rules from incomplete information systems M Kryszkiewicz European Symposium on Principles of Data Mining and Knowledge Discovery, 156-166, 1997 | 37 | 1997 |
Reducing information systems with uncertain attributes M Kryszkiewicz, H Rybiński Foundations of Intelligent Systems: 9th International Symposium, ISMIS'96 …, 1996 | 37 | 1996 |
Concise representations of frequent patterns and association rules M Kryszkiewicz Prace Naukowe Politechniki Warszawskiej. Elektronika, 5-207, 2002 | 36 | 2002 |
Faster clustering with DBSCAN M Kryszkiewicz, Ł Skonieczny Intelligent Information Processing and Web Mining: Proceedings of the …, 2005 | 35 | 2005 |