Patrick G. Clark

51 papers B 2C 5Misc 7Journal 13Unranked 22

Year	Rank	Type	Title / 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