Patrick G. Clark

51 papers B 2C 5Misc 7Journal 13Unranked 22
YearRankTypeTitle / Venue / Authors
2024 J jnl
Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2023 B conf
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets.
KES
Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2023 J jnl
Global and saturated probabilistic approximations based on generalized maximal consistent blocks.
Log. J. IGPL
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2021 J jnl
Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks.
Log. J. IGPL
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2021 — conf
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks.
IJCRS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2020 B conf
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
KES
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2020 Misc conf
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
HAIS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2020 — conf
Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets.
ICIST
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2019 C conf
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions.
ISDA
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2019 — conf
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations.
KES-IDT (1)
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2019 — conf
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations.
ICIST
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 — conf
A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
IPMU (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 — conf
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data.
ICIST
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 J jnl
Characteristic sets and generalized maximal consistent blocks in mining incomplete data.
Inf. Sci.
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 — conf
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 Misc conf
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks.
HAIS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2017 C conf
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations.
ISMIS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 J jnl
A Comparison of Mining Incomplete and Inconsistent Data.
Inf. Technol. Control.
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 — conf
Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
IJCRS (1)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2017 — conf
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 — conf
MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization.
KES-IDT (1)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 — conf
A Comparison of Mining Incomplete and Inconsistent Data.
ICIST
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 J jnl
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations.
J. Intell. Inf. Syst.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2016 — conf
Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 — conf
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions.
IJCRS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2015 J jnl
Consistency of incomplete data.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2015 J jnl
Firewall Policy Diagram: Structures for Firewall Behavior Comprehension.
Int. J. Netw. Secur.
Patrick G. Clark, Arvin Agah
2015 — conf
Mining Incomplete Data with Many Lost and Attribute-Concept Values.
RSKT
Patrick G. Clark, Jerzy W. Grzymala-Busse
2015 — conf
Mining incomplete data with many attribute-concept values and "do not care" conditions.
IEEE BigData
Patrick G. Clark, Jerzy W. Grzymala-Busse
2015 — conf
Modeling Firewalls for Behavior Analysis.
SCSE
Patrick G. Clark, Arvin Agah
2015 — conf
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions.
PReMI
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 — conf
A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations.
RSCTC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets.
Fundam. Informaticae
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2014 — conf
Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations.
IPMU (1)
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 C conf
Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions.
DATA
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
Generalized probabilistic approximations of incomplete data.
Int. J. Approx. Reason.
Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen
2014 Misc conf
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions.
HAIS
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 — ch.
Mining Inconsistent Data with Probabilistic Approximations.
Issues and Challenges in Artificial Intelligence
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2014 Misc conf
Mining incomplete data with lost values and attribute-concept values.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
Mining incomplete data with singleton, subset and concept probabilistic approximations.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2013 Misc conf
A Comparison of global and local probabilistic approximations in mining data with many missing attribute values.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 — conf
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations.
RSFDGrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 J jnl
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction.
Fundam. Informaticae
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 C conf
Consistency of Incomplete Data.
DATA
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 — —
Firewall Policy Diagram: Novel Data Structures and Algorithms for Modeling, Analysis, and Comprehension of Network Firewalls.
Patrick G. Clark
2013 — conf
Generalizations of Approximations.
RSKT
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2012 Misc conf
Experiments on rule induction from incomplete data using three probabilistic approximations.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2012 — conf
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values?
RSCTC
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2012 C conf
Local Probabilistic Approximations for Incomplete Data.
ISMIS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen
2011 J jnl
Applied Artificial Intelligence Techniques for Identifying the Lazy Eye Vision Disorder.
J. Intell. Syst.
Patrick G. Clark, Arvin Agah, Gerhard W. Cibis
2011 Misc conf
Experiments on probabilistic approximations.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse