Witold J. Grzymała-Busse

Computer Science · Physical Sciences

9h-index367citations20works0.02yr avg
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Research Topics

Rough Sets and Fuzzy Logic(19), Data Mining Algorithms and Applications(15), Multi-Criteria Decision Making(5), Data Management and Algorithms(5), AI-based Problem Solving and Planning(3)

Publications20 total

Handling Missing Attribute Values
2023· 2 cited
An improved comparison of three rough set approaches to missing attribute values
2010· 9 cited
Increasing Incompleteness of Data Sets—A Strategy for Inducing Better Rule Sets
Studies in computational intelligence·2009· 1 cited
Handling Missing Attribute Values
2009· 65 cited
Increasing Data Set Incompleteness May Improve Rule Set Quality
Communications in computer and information science·2009· 1 cited
IMPROVING QUALITY OF RULE SETS BY INCREASING INCOMPLETENESS OF DATA SETS - A Rough Set Approach
2008· 6 citedOpen Access
Inducing Better Rule Sets by Adding Missing Attribute Values
Lecture notes in computer science·2008· 11 cited
A Comparison of Three Approximation Strategies for Incomplete Data Sets
2007 IEEE International Conference on Granular Computing (GRC 2007)·2007· 1 cited
A Comparison of Three Approximation Strategies for Incomplete Data Sets
2007 IEEE International Conference on Granular Computing (GRC 2007)·2007· 7 cited
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values
Lecture notes in computer science·2007· 45 cited
Handling Missing Attribute Values
2006· 30 cited
Discriminant versus Strong Rule Sets
Advances in soft computing·2006· 1 cited
Handling Missing Attribute Values in Preterm Birth Data Sets
Lecture notes in computer science·2005· 54 cited
An Approach to Imbalanced Data Sets Based on Changing Rule Strength
Cognitive technologies·2004· 63 cited
Diagnosis of melanoma based on data mining and ABCD formulas
2003· 4 cited
A comparison of three closest fit approaches to missing attribute values in preterm birth data
International Journal of Intelligent Systems·2002· 23 cited
Problems of Rule Induction from Preterm Birth Data
Studies in fuzziness and soft computing·2002
A Comparison of Rough Set Strategies for Pre-Term Birth Data
Studies in fuzziness and soft computing·2002· 1 cited
Coping With Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach
Computational Intelligence·2001· 22 cited
A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data
Lecture notes in computer science·1999· 21 cited

Frequent Co-authors

Jerzy W. Grzymala‐Busse(20), Linda Goodwin(7), Xinqun Zheng(4), Zdzisław S. Hippe(4), Wojciech Rząsa(3), Stanisław Bajcar(1), Jay Hamilton(1)