Experiments on probabilistic approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse (GrC, 2011)

Applied Artificial Intelligence Techniques for Identifying the Lazy Eye Vision Disorder. - Patrick G. Clark; Arvin Agah; Gerhard W. Cibis (J. Intell. Syst., 2011)

Experiments on rule induction from incomplete data using three probabilistic approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse (GrC, 2012)

Local Probabilistic Approximations for Incomplete Data. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Martin Kuehnhausen (ISMIS, 2012)

How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values? - Patrick G. Clark; Jerzy W. Grzymala-Busse; Zdzislaw S. Hippe (RSCTC, 2012)

Consistency of Incomplete Data. - Patrick G. Clark; Jerzy W. Grzymala-Busse (DATA, 2013)

A Comparison of global and local probabilistic approximations in mining data with many missing attribute values. - Patrick G. Clark; Jerzy W. Grzymala-Busse (GrC, 2013)

An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse (RSFDGrC, 2013)

Generalizations of Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Wojciech Rzasa (RSKT, 2013)

An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction. - Patrick G. Clark; Jerzy W. Grzymala-Busse (Fundam. Informaticae, 2013)

Firewall Policy Diagram: Novel Data Structures and Algorithms for Modeling, Analysis, and Comprehension of Network Firewalls. - Patrick G. Clark (2013)

Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions. - Patrick G. Clark; Jerzy W. Grzymala-Busse (DATA, 2014)

Mining incomplete data with lost values and attribute-concept values. - Patrick G. Clark; Jerzy W. Grzymala-Busse (GrC, 2014)

Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions. - Patrick G. Clark; Jerzy W. Grzymala-Busse (HAIS, 2014)

Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse (IPMU (1), 2014)

A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse (RSCTC, 2014)

An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Zdzislaw S. Hippe (Fundam. Informaticae, 2014)

Generalized probabilistic approximations of incomplete data. - Jerzy W. Grzymala-Busse; Patrick G. Clark; Martin Kuehnhausen (Int. J. Approx. Reason., 2014)

Mining incomplete data with singleton, subset and concept probabilistic approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Wojciech Rzasa (Inf. Sci., 2014)

Mining Inconsistent Data with Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Zdzislaw S. Hippe (Issues and Challenges in Artificial Intelligence, 2014)

Mining incomplete data with many attribute-concept values and "do not care" conditions. - Patrick G. Clark; Jerzy W. Grzymala-Busse (IEEE BigData, 2015)

On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions. - Patrick G. Clark; Jerzy W. Grzymala-Busse (PReMI, 2015)

Mining Incomplete Data with Many Lost and Attribute-Concept Values. - Patrick G. Clark; Jerzy W. Grzymala-Busse (RSKT, 2015)

Modeling Firewalls for Behavior Analysis. - Patrick G. Clark; Arvin Agah (SCSE, 2015)

Firewall Policy Diagram: Structures for Firewall Behavior Comprehension. - Patrick G. Clark; Arvin Agah (Int. J. Netw. Secur., 2015)

Consistency of incomplete data. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Wojciech Rzasa (Inf. Sci., 2015)

Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse (ICAISC (2), 2016)

Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse (IJCRS, 2016)

A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Wojciech Rzasa (J. Intell. Inf. Syst., 2016)

Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse (ICAISC (2), 2017)

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 (ISMIS, 2017)

MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse (KES-IDT (1), 2017)

A Comparison of Mining Incomplete and Inconsistent Data. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse (Inf. Technol. Control., 2017)

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 (ICAISC (2), 2018)

A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse; Teresa Mroczek; Rafal Niemiec (ICIST, 2018)

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 (IPMU (2), 2018)

Characteristic sets and generalized maximal consistent blocks in mining incomplete data. - Patrick G. Clark; Cheng Gao; Jerzy W. Grzymala-Busse; Teresa Mroczek (Inf. Sci., 2018)

Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Teresa Mroczek; Rafal Niemiec (ICIST, 2019)

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 (ISDA, 2019)

Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Teresa Mroczek; Rafal Niemiec (KES-IDT (1), 2019)

Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Teresa Mroczek; Rafal Niemiec (ICIST, 2020)

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 (KES, 2020)

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 (Log. J. IGPL, 2021)

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 (KES, 2023)

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 (Log. J. IGPL, 2023)

Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks. - Patrick G. Clark; Jerzy W. Grzymala-Busse; Zdzislaw S. Hippe; Teresa Mroczek (Inf. Sci., 2024)