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Patrick G. Clark
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2020 – today
- 2024
- [j13]Patrick G. Clark, Jerzy W. Grzymala-Busse
, Zdzislaw S. Hippe, Teresa Mroczek
Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks. Inf. Sci. 662: 120287 (2024) - 2023
- [j12]Patrick G. Clark, Jerzy W. Grzymala-Busse
Global and saturated probabilistic approximations based on generalized maximal consistent blocks. Log. J. IGPL 31(2): 223-239 (2023) - [c36]Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets. KES 2023: 442-451 - 2021
- [j11]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks. Log. J. IGPL 29(2): 124-137 (2021) - [c35]Patrick G. Clark, Jerzy W. Grzymala-Busse
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks. IJCRS 2021: 3-17 - 2020
- [c34]Patrick G. Clark, Jerzy W. Grzymala-Busse
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. HAIS 2020: 387-396 - [c33]Patrick G. Clark, Jerzy W. Grzymala-Busse
Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets. ICIST 2020: 72-83 - [c32]Patrick G. Clark, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. KES 2020: 1803-1812
2010 – 2019
- 2019
- [c31]Patrick G. Clark, Jerzy W. Grzymala-Busse
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations. ICIST 2019: 451-462 - [c30]Patrick G. Clark, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions. ISDA 2019: 376-385 - [c29]Patrick G. Clark, Jerzy W. Grzymala-Busse
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations. KES-IDT (1) 2019: 167-178 - 2018
- [j10]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Characteristic sets and generalized maximal consistent blocks in mining incomplete data. Inf. Sci. 453: 66-79 (2018) - [c28]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks. HAIS 2018: 84-94 - [c27]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks. ICAISC (2) 2018: 301-310 - [c26]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data. ICIST 2018: 324-335 - [c25]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data. IPMU (2) 2018: 480-489 - 2017
- [j9]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
A Comparison of Mining Incomplete and Inconsistent Data. Inf. Technol. Control. 46(2): 183-193 (2017) - [c24]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm. ICAISC (2) 2017: 21-30 - [c23]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations. ISMIS 2017: 282-291 - [c22]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization. KES-IDT (1) 2017: 218-227 - [c21]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data. IJCRS (1) 2017: 477-486 - 2016
- [j8]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations. J. Intell. Inf. Syst. 47(3): 515-529 (2016) - [c20]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values. ICAISC (2) 2016: 27-36 - [c19]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
A Comparison of Mining Incomplete and Inconsistent Data. ICIST 2016: 414-425 - [c18]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions. IJCRS 2016: 65-74 - 2015
- [j7]Patrick G. Clark, Arvin Agah:
Firewall Policy Diagram: Structures for Firewall Behavior Comprehension. Int. J. Netw. Secur. 17(2): 150-159 (2015) - [j6]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
Consistency of incomplete data. Inf. Sci. 322: 197-222 (2015) - [c17]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining incomplete data with many attribute-concept values and "do not care" conditions. IEEE BigData 2015: 1597-1602 - [c16]Patrick G. Clark, Jerzy W. Grzymala-Busse:
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions. PReMI 2015: 13-22 - [c15]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Many Lost and Attribute-Concept Values. RSKT 2015: 100-109 - [c14]Patrick G. Clark, Arvin Agah:
Modeling Firewalls for Behavior Analysis. SCSE 2015: 159-166 - 2014
- [j5]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets. Fundam. Informaticae 132(3): 365-379 (2014) - [j4]Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen:
Generalized probabilistic approximations of incomplete data. Int. J. Approx. Reason. 55(1): 180-196 (2014) - [j3]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
Mining incomplete data with singleton, subset and concept probabilistic approximations. Inf. Sci. 280: 368-384 (2014) - [c13]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions. DATA 2014: 56-63 - [c12]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining incomplete data with lost values and attribute-concept values. GrC 2014: 49-54 - [c11]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions. HAIS 2014: 156-167 - [c10]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations. IPMU (1) 2014: 386-395 - [c9]Patrick G. Clark, Jerzy W. Grzymala-Busse:
A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations. RSCTC 2014: 109-119 - [p1]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining Inconsistent Data with Probabilistic Approximations. Issues and Challenges in Artificial Intelligence 2014: 89-100 - 2013
- [j2]Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction. Fundam. Informaticae 127(1-4): 177-191 (2013) - [c8]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Consistency of Incomplete Data. DATA 2013: 80-87 - [c7]Patrick G. Clark, Jerzy W. Grzymala-Busse:
A Comparison of global and local probabilistic approximations in mining data with many missing attribute values. GrC 2013: 76-81 - [c6]Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations. RSFDGrC 2013: 77-86 - [c5]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Generalizations of Approximations. RSKT 2013: 41-52 - 2012
- [c4]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on rule induction from incomplete data using three probabilistic approximations. GrC 2012: 78-83 - [c3]Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen:
Local Probabilistic Approximations for Incomplete Data. ISMIS 2012: 93-98 - [c2]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values? RSCTC 2012: 46-55 - 2011
- [j1]Patrick G. Clark, Arvin Agah, Gerhard W. Cibis:
Applied Artificial Intelligence Techniques for Identifying the Lazy Eye Vision Disorder. J. Intell. Syst. 20(2): 101-127 (2011) - [c1]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on probabilistic approximations. GrC 2011: 144-149
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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