| 2023 | KES | Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets. | Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe |
| 2020 | HAIS | Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. | Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec |
| 2020 | KES | Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. | Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec |
| 2019 | ISDA | Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions. | Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec |
| 2018 | HAIS | Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec |
| 2018 | ICAISC | Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec |
| 2018 | IPMU | A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek |
| 2017 | ICAISC | Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse |
| 2017 | ISMIS | A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse |
| 2016 | ICAISC | Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values. | Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse |
| 2014 | DATA | Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2014 | GRC | Mining incomplete data with lost values and attribute-concept values. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2014 | HAIS | Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2014 | IPMU | Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2013 | DATA | Consistency of Incomplete Data. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2013 | GRC | A Comparison of global and local probabilistic approximations in mining data with many missing attribute values. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2012 | GRC | Experiments on rule induction from incomplete data using three probabilistic approximations. | Patrick G. Clark, Jerzy W. Grzymala-Busse |
| 2012 | ISMIS | Local Probabilistic Approximations for Incomplete Data. | Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen |
| 2011 | GRC | Experiments on probabilistic approximations. | Patrick G. Clark, Jerzy W. Grzymala-Busse |