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ORCIDJerzy W. Grzymala-Busse
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- affiliation: University of Kansas, Lawrence, USA
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2020 – today
- 2024
[j62]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
- [j61]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec:
Global and saturated probabilistic approximations based on generalized maximal consistent blocks. Log. J. IGPL 31(2): 223-239 (2023) - [c120]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 - 2022
- [e11]JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li:
Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13633, Springer 2022, ISBN 978-3-031-21243-7 [contents] - 2021
- [j60]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks. Log. J. IGPL 29(2): 124-137 (2021) - [c119]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. IJCRS 2021: 3-17 - 2020
- [c118]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec:
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. HAIS 2020: 387-396 - [c117]Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets. ICIST 2020: 72-83 - [c116]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec:
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks. KES 2020: 1803-1812
2010 – 2019
- 2019
- [j59]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek:
Reduced Data Sets and Entropy-Based Discretization. Entropy 21(11): 1051 (2019) - [c115]Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations. ICIST 2019: 451-462 - [c114]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec:
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions. ISDA 2019: 376-385 - [c113]Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations. KES-IDT (1) 2019: 167-178 - 2018
- [j58]Jerzy W. Grzymala-Busse, Teresa Mroczek:
Merging of Numerical Intervals in Entropy-Based Discretization. Entropy 20(11): 880 (2018) - [j57]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek:
Characteristic sets and generalized maximal consistent blocks in mining incomplete data. Inf. Sci. 453: 66-79 (2018) - [c112]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks. HAIS 2018: 84-94 - [c111]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks. ICAISC (2) 2018: 301-310 - [c110]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec:
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data. ICIST 2018: 324-335 - [c109]Cheng Gao, Jerzy W. Grzymala-Busse:
Mining incomplete numerical data sets using C4.5 preceded by Multiple Scanning. ICNC-FSKD 2018: 877-884 - [c108]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek:
A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data. IPMU (2) 2018: 480-489 - [p20]Jerzy W. Grzymala-Busse, Teresa Mroczek:
Attribute Selection Based on Reduction of Numerical Attributes During Discretization. Advances in Feature Selection for Data and Pattern Recognition 2018: 13-24 - 2017
- [j56]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) - [c107]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 - [c106]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 - [c105]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization. KES-IDT (1) 2017: 218-227 - [c104]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek:
Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data. IJCRS (1) 2017: 477-486 - 2016
- [j55]Jerzy W. Grzymala-Busse, Teresa Mroczek:
A Comparison of Four Approaches to Discretization Based on Entropy. Entropy 18(3): 69 (2016) - [j54]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) - [c103]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 - [c102]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
A Comparison of Mining Incomplete and Inconsistent Data. ICIST 2016: 414-425 - [c101]Jerzy W. Grzymala-Busse, Teresa Mroczek:
Definability in Mining Incomplete Data. KES 2016: 179-186 - [c100]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
- [j53]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Consistency of incomplete data. Inf. Sci. 322: 197-222 (2015) - [c99]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 - [c98]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 - [c97]Jerzy W. Grzymala-Busse, Teresa Mroczek:
A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5. PReMI 2015: 44-53 - [c96]Jerzy W. Grzymala-Busse:
A Rough Set Approach to Incomplete Data. RSKT 2015: 3-14 - [c95]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Many Lost and Attribute-Concept Values. RSKT 2015: 100-109 - [p19]Jerzy W. Grzymala-Busse:
Rule Induction from Rough Approximations. Handbook of Computational Intelligence 2015: 371-385 - [p18]Jerzy W. Grzymala-Busse:
A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm. Feature Selection for Data and Pattern Recognition 2015: 163-176 - [e10]Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9437, Springer 2015, ISBN 978-3-319-25782-2 [contents] - 2014
- [j52]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) - [j51]Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen:
Generalized probabilistic approximations of incomplete data. Int. J. Approx. Reason. 55(1): 180-196 (2014) - [j50]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) - [c94]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 - [c93]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining incomplete data with lost values and attribute-concept values. GrC 2014: 49-54 - [c92]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions. HAIS 2014: 156-167 - [c91]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 - [c90]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 - [p17]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
- [j49]Jerzy W. Grzymala-Busse:
Discretization Based on Entropy and Multiple Scanning. Entropy 15(5): 1486-1502 (2013) - [j48]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) - [j47]Jerzy W. Grzymala-Busse:
Generalized Probabilistic Approximations. Trans. Rough Sets 16: 1-16 (2013) - [c89]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Consistency of Incomplete Data. DATA 2013: 80-87 - [c88]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 - [c87]Jerzy W. Grzymala-Busse:
Generalized probabilistic approximations. HSI 2013: 13-17 - [c86]Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations. RSFDGrC 2013: 77-86 - [c85]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Generalizations of Approximations. RSKT 2013: 41-52 - [p16]Andrzej Skowron, Mihir K. Chakraborty, Jerzy W. Grzymala-Busse, Victor W. Marek, Sankar K. Pal, James F. Peters, Grzegorz Rozenberg, Dominik Slezak, Roman Slowinski, Shusaku Tsumoto, Alicja Wakulicz-Deja, Guoyin Wang, Wojciech Ziarko:
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence. Rough Sets and Intelligent Systems (1) 2013: 1-56 - [p15]Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao:
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification. Rough Sets and Intelligent Systems (1) 2013: 261-276 - 2012
- [j46]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(3): 257-271 (2012) - [c84]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on rule induction from incomplete data using three probabilistic approximations. GrC 2012: 78-83 - [c83]Jerzy W. Grzymala-Busse:
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm. IPMU (1) 2012: 270-279 - [c82]Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen:
Local Probabilistic Approximations for Incomplete Data. ISMIS 2012: 93-98 - [c81]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 - [e9]Tianrui Li, Hung Son Nguyen, Guoyin Wang, Jerzy W. Grzymala-Busse, Ryszard Janicki, Aboul Ella Hassanien, Hong Yu:
Rough Sets and Knowledge Technology - 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012. Proceedings. Lecture Notes in Computer Science 7414, Springer 2012, ISBN 978-3-642-31899-3 [contents] - 2011
- [j45]James F. Peters, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko:
Preface: A rough set approach to data mining. Int. J. Intell. Syst. 26(6): 497-498 (2011) - [j44]Jerzy W. Grzymala-Busse, Yiyu Yao:
Probabilistic rule induction with the LERS data mining system. Int. J. Intell. Syst. 26(6): 518-539 (2011) - [c80]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on probabilistic approximations. GrC 2011: 144-149 - [c79]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining data with numerical attributes and missing attribute values - A rough set approach. GrC 2011: 214-219 - [c78]Jerzy W. Grzymala-Busse:
A Comparison of Some Rough Set Approaches to Mining Symbolic Data with Missing Attribute Values. ISMIS 2011: 52-61 - [c77]Jerzy W. Grzymala-Busse:
Mining Incomplete Data - A Rough Set Approach. RSKT 2011: 1-7 - [c76]Jerzy W. Grzymala-Busse:
Generalized Parameterized Approximations. RSKT 2011: 136-145 - [p14]Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Asymmetry of Digital Images Describing Melanocytic Skin Lesions. Computer Recognition Systems 4 2011: 605-611 - [e8]James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko:
Transactions on Rough Sets XIII. Lecture Notes in Computer Science 6499, Springer 2011, ISBN 978-3-642-18301-0 [contents] - 2010
- [j43]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
A Local Version of the MLEM2 Algorithm for Rule Induction. Fundam. Informaticae 100(1-4): 99-116 (2010) - [j42]Jerzy W. Grzymala-Busse:
Mining Numerical Data - A Rough Set Approach. Trans. Rough Sets 11: 1-13 (2010) - [j41]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Definability and Other Properties of Approximations for Generalized Indiscernibility Relations. Trans. Rough Sets 11: 14-39 (2010) - [c75]Jerzy W. Grzymala-Busse:
Selected Topics of Data Mining. GrC 2010: 22-23 - [c74]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm. GrC 2010: 115-120 - [c73]Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao:
A comparison of positive, boundary, and possible rules using the MLEM2 rule induction algorithm. HIS 2010: 7-12 - [c72]Jerzy W. Grzymala-Busse, Shantan R. Marepally:
Sensitivity and Specificity for Mining Data with Increased Incompleteness. ICAISC (1) 2010: 355-362 - [c71]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm. IDEAL 2010: 118-125 - [c70]Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao:
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification. RSCTC 2010: 590-599 - [c69]Jerzy W. Grzymala-Busse:
Rough set and CART approaches to mining incomplete data. SoCPaR 2010: 214-219 - [p13]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Handling Missing Attribute Values. Data Mining and Knowledge Discovery Handbook 2010: 33-51 - [p12]Jerzy W. Grzymala-Busse:
Rule Induction. Data Mining and Knowledge Discovery Handbook 2010: 249-265 - [p11]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets. Advances in Machine Learning I 2010: 345-365 - [e7]Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Jerzy W. Grzymala-Busse, Qing Liu, Andrei Z. Broder:
2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4161-7 [contents]
2000 – 2009
- 2009
- [j40]Piotr Blajdo, Zdzislaw S. Hippe, Teresa Mroczek, Jerzy W. Grzymala-Busse, Maksymilian Knap, Lukasz Piatek:
An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach. Fundam. Informaticae 94(2): 121-131 (2009) - [c68]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Synthesis of Static Medical Images with an Active Shape Model. ICMMI 2009: 429-434 - [c67]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Local Approximations. IDEAL 2009: 9-16 - [c66]Jerzy W. Grzymala-Busse:
A Multiple Scanning Strategy for Entropy Based Discretization. ISMIS 2009: 25-34 - [p10]Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results. Computer Recognition Systems 3 2009: 381-387 - [r2]Jerzy W. Grzymala-Busse:
Rule Induction, Missing Attribute Values and Discretization. Encyclopedia of Complexity and Systems Science 2009: 7797-7804 - [r1]Jerzy W. Grzymala-Busse, Wojciech Ziarko:
Rough Sets and Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1696-1701 - 2008
- [j39]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Approximation Space and LEM2-like Algorithms for Computing Local Coverings. Fundam. Informaticae 85(1-4): 205-217 (2008) - [j38]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Local and Global Approximations for Incomplete Data. Trans. Rough Sets 8: 21-34 (2008) - [c65]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Increasing Data Set Incompleteness May Improve Rule Set Quality. ICSOFT (Selected Papers) 2008: 200-216 - [c64]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach. ICSOFT (PL/DPS/KE) 2008: 241-248 - [c63]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Inducing Better Rule Sets by Adding Missing Attribute Values. RSCTC 2008: 160-169 - [c62]Jerzy W. Grzymala-Busse, Yiyu Yao:
A Comparison of the LERS Classification System and Rule Management in PRSM. RSCTC 2008: 202-210 - [c61]Piotr Blajdo, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Teresa Mroczek, Lukasz Piatek:
A Comparison of Six Approaches to Discretization-A Rough Set Perspective. RSKT 2008: 31-38 - [p9]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Synthesis of Medical Images in the Domain of Melanocytic Skin Lesions. Information Technologies in Biomedicine 2008: 225-231 - [p8]Jerzy W. Grzymala-Busse:
Three Approaches to Missing Attribute Values: A Rough Set Perspective. Data Mining: Foundations and Practice 2008: 139-152 - [p7]Jerzy W. Grzymala-Busse:
MLEM2 Rule Induction Algorithms: With and Without Merging Intervals. Data Mining: Foundations and Practice 2008: 153-164 - [e6]Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko:
Rough Sets and Current Trends in Computing, 6th International Conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008, Proceedings. Lecture Notes in Computer Science 5306, Springer 2008, ISBN 978-3-540-88423-1 [contents] - [e5]Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao:
Rough Sets and Knowledge Technology, Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings. Lecture Notes in Computer Science 5009, Springer 2008, ISBN 978-3-540-79720-3 [contents] - 2007
- [j37]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values. Trans. Rough Sets 6: 31-50 (2007) - [j36]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek:
Deriving Belief Networks and Belief Rules from Data: A Progress Report. Trans. Rough Sets 7: 53-69 (2007) - [c60]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Definability of Approximations for a Generalization of the Indiscernibility Relation. FOCI 2007: 65-72 - [c59]Jianwen Fang, Jerzy W. Grzymala-Busse:
Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach. GrC 2007: 231-236 - [c58]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe, Wojciech Rzasa:
A Comparison of Three Approximation Strategies for Incomplete Data Sets. GrC 2007: 301-306 - [c57]Jerzy W. Grzymala-Busse:
Mining Numerical Data - A Rough Set Approach. RSEISP 2007: 12-21 - [c56]Jianwen Fang, Jerzy W. Grzymala-Busse:
Mining Mass Spectrometry Database Search Results - A Rough Set Approach. RSEISP 2007: 340-349 - [c55]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Agnieszka Kordek, Teresa Mroczek, Wojciech Podraza:
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining. RSFDGrC 2007: 289-296 - [e4]James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy W. Grzymala-Busse, Ewa Orlowska, Lech Polkowski:
Transactions on Rough Sets VI, Commemorating the Life and Work of Zdzislaw Pawlak, Part I. Lecture Notes in Computer Science 4374, Springer 2007, ISBN 978-3-540-71198-8 [contents] - 2006
- [c54]Jerzy W. Grzymala-Busse, Gustavo P. Sudre:
A comparison of two partial matching strategies for classification of unseen cases. GrC 2006: 800-805 - [c53]Jianwen Fang, Jerzy W. Grzymala-Busse:
Leukemia Prediction from Gene Expression Data-A Rough Set Approach. ICAISC 2006: 899-908 - [c52]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Randomized Dynamic Generation of Selected Melanocytic Skin Lesion Features. Intelligent Information Systems 2006: 21-29 - [c51]Jerzy W. Grzymala-Busse, Steven Santoso:
Experiments on Data with Three Interpretations of Missing Attribute Values - A Rough Set Approach. Intelligent Information Systems 2006: 143-152 - [c50]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Local and Global Approximations for Incomplete Data. RSCTC 2006: 244-253 - [c49]Jerzy W. Grzymala-Busse:
A Rough Set Approach to Data with Missing Attribute Values. RSKT 2006: 58-67 - [c48]Jianwen Fang, Jerzy W. Grzymala-Busse:
Mining of MicroRNA Expression Data - A Rough Set Approach. RSKT 2006: 758-765 - [p6]Jerzy W. Grzymala-Busse:
Rough Set Strategies to Data with Missing Attribute Values. Foundations and Novel Approaches in Data Mining 2006: 197-212 - 2005
- [j35]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja:
Infoscience technology: the impact of internet accessible melanoid data on health issues. Data Sci. J. 4: 77-81 (2005) - [j34]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. J. Intell. Manuf. 16(6): 565-573 (2005) - [j33]Jerzy W. Grzymala-Busse:
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation. Trans. Rough Sets 4: 58-68 (2005) - [c47]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Data Mining Methods Supporting Diagnosis of Melanoma. CBMS 2005: 371-373 - [c46]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja, Mariusz Wrzesien:
Classification of Medical Images in the Domain of Melanoid Skin Lesions. CORES 2005: 519-526 - [c45]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
Data Mining Experiments on Hop Processing Data. HIS 2005: 175-180 - [c44]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Jay Hamilton:
Discriminant versus Strong Rule Sets. Intelligent Information Systems 2005: 67-76 - [c43]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek:
Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem. Intelligent Information Systems 2005: 431-435 - [c42]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
Data Mining Analysis of Granular Bed Caking during Hop Extraction. ISDA 2005: 426-431 - [c41]Jerzy W. Grzymala-Busse:
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations. RSFDGrC (1) 2005: 244-253 - [c40]Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng:
Handling Missing Attribute Values in Preterm Birth Data Sets. RSFDGrC (2) 2005: 342-351 - [p5]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Handling Missing Attribute Values. The Data Mining and Knowledge Discovery Handbook 2005: 37-57 - [p4]Jerzy W. Grzymala-Busse:
Rule Induction. The Data Mining and Knowledge Discovery Handbook 2005: 277-294 - [p3]Jerzy W. Grzymala-Busse:
LERS - A Data Mining System. The Data Mining and Knowledge Discovery Handbook 2005: 1347-1351 - 2004
- [j32]Jerzy W. Grzymala-Busse:
Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction. Trans. Rough Sets 1: 78-95 (2004) - [j31]Jerzy W. Grzymala-Busse:
Three Strategies to Rule Induction from Data with Numerical Attributes. Trans. Rough Sets 2: 54-62 (2004) - [c39]Jerzy W. Grzymala-Busse:
Rough Set Approach to Incomplete Data. ICAISC 2004: 50-55 - [c38]Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe:
Diagnosis of Melanoma Using IRIM, a Data Mining System. ICAISC 2004: 996-1001 - [c37]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. KES 2004: 757-763 - [c36]Jerzy W. Grzymala-Busse:
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation. Rough Sets and Current Trends in Computing 2004: 244-253 - [c35]Teresa Mroczek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Rules from Belief Networks: A Rough Set Approach. Rough Sets and Current Trends in Computing 2004: 483-487 - [c34]Ron Andrews, Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Chris Whiteley:
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System. Rough Sets and Current Trends in Computing 2004: 630-636 - [p2]Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng:
An Approach to Imbalanced Data Sets Based on Changing Rule Strength. Rough-Neural Computing: Techniques for Computing with Words 2004: 543-554 - [e3]Shusaku Tsumoto, Roman Slowinski, Henryk Jan Komorowski, Jerzy W. Grzymala-Busse:
Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings. Lecture Notes in Computer Science 3066, Springer 2004, ISBN 3-540-22117-4 [contents] - [e2]James F. Peters, Andrzej Skowron, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka:
Transactions on Rough Sets I. Lecture Notes in Computer Science 3100, Springer 2004, ISBN 3-540-22374-6 [contents] - [e1]James F. Peters, Andrzej Skowron, Didier Dubois, Jerzy W. Grzymala-Busse, Masahiro Inuiguchi, Lech Polkowski:
Transactions on Rough Sets II. Lecture Notes in Computer Science 3135, Springer 2004, ISBN 3-540-23990-1 [contents] - 2003
- [j30]Rachel L. Freeman, Jerzy W. Grzymala-Busse, Mark Harvey:
Functional Behavioral Assessment Using the LERS Data Mining System - Strategies for Understanding Complex Physiological and Behavioral Patterns. J. Intell. Inf. Syst. 21(2): 173-181 (2003) - [j29]Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang:
Increasing sensitivity of preterm birth by changing rule strengths. Pattern Recognit. Lett. 24(6): 903-910 (2003) - [c33]Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe:
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars. HIS 2003: 614-622 - [c32]Alison Alvarez, Stanislaw Bajcar, Frank M. Brown, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Optimization of the ABCD Formula Used for Melanoma Diagnosis. IIS 2003: 233-240 - [c31]Jerzy W. Grzymala-Busse:
MLEM2 - Discretization During Rule Induction. IIS 2003: 499-508 - [c30]Jerzy W. Grzymala-Busse:
A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes. RSKD 2003: 132-140 - 2002
- [j28]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin:
A comparison of three closest fit approaches to missing attribute values in preterm birth data. Int. J. Intell. Syst. 17(2): 125-134 (2002) - [c29]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Postprocessing of Rule Sets Induced from a Melanoma Data Set. COMPSAC 2002: 1146-1151 - [c28]Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma. Intelligent Information Systems 2002: 3-12 - [c27]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
A Search for the Best Data Mining Method to Predict Melanoma. Rough Sets and Current Trends in Computing 2002: 538-545 - 2001
- [j27]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin:
Coping with Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach. Comput. Intell. 17(3): 425-434 (2001) - [j26]Jerzy W. Grzymala-Busse, Jerzy Stefanowski:
Three discretization methods for rule induction. Int. J. Intell. Syst. 16(1): 29-38 (2001) - [c26]Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder:
Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS. CBMS 2001: 11-16 - [c25]Pippa S. Loupe, Rachel L. Freeman, Jerzy W. Grzymala-Busse, Stephen R. Schroeder:
Using Rule Induction for Prediction of Self-Injuring Behavior in Animal Models of Development Disabilities. CBMS 2001: 171-176 - [c24]Jan P. Grzymala-Busse, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Melanoma Prediction Using Data Mining System LERS. COMPSAC 2001: 615-620 - [c23]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms. Intelligent Information Systems 2001: 43-55 - [c22]Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder:
Analysis of Self-Injurious Behavior by the LERS Data Mining System. JSAI Workshops 2001: 395-399 - 2000
- [j25]Jerzy W. Grzymala-Busse, Wojciech Ziarko:
Data Mining and Rough Set Theory. Commun. ACM 43(4): 108-109 (2000) - [c21]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Data Mining Experiments with the Melanoma Data Set. Intelligent Information Systems 2000: 27-34 - [c20]Jerzy W. Grzymala-Busse, Pankaj Shah:
A Comparison of Rule Matching Methods Used in AQ15 and LERS. ISMIS 2000: 148-156 - [c19]Jerzy W. Grzymala-Busse, Ming Hu:
A Comparison of Several Approaches to Missing Attribute Values in Data Mining. Rough Sets and Current Trends in Computing 2000: 378-385
1990 – 1999
- 1999
- [c18]Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang:
Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching. ISMIS 1999: 612-620 - [c17]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin:
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data. RSFDGrC 1999: 405-413 - 1998
- [j24]Hamid Moradi, James A. Roberts, Jerzy W. Grzymala-Busse:
Entropy of English Text: Experiments with Humans and a Machine Learning System Based on Rough Sets. Inf. Sci. 104(1-2): 31-47 (1998) - [c16]Jerzy W. Grzymala-Busse, Xihong Zou:
Classification Strategies Using Certain and Possible Rules. Rough Sets and Current Trends in Computing 1998: 37-44 - 1997
- [j23]Jerzy W. Grzymala-Busse:
Classification of Unseen Examples Under Uncertainty. Fundam. Informaticae 30(3/4): 255-267 (1997) - [j22]Jerzy W. Grzymala-Busse:
A New Version of the Rule Induction System LERS. Fundam. Informaticae 31(1): 27-39 (1997) - [c15]Jerzy W. Grzymala-Busse, L. John Old:
A Machine Learning Experiment to Determine Part of Speech from Word-Endings. ISMIS 1997: 497-506 - 1996
- [j21]Jerzy W. Grzymala-Busse, Soe Than:
An Algorithm for Data Reduction in Learning from Examples. Intell. Autom. Soft Comput. 2(2): 161-167 (1996) - [j20]Michal R. Chmielewski, Jerzy W. Grzymala-Busse:
Global discretization of continuous attributes as preprocessing for machine learning. Int. J. Approx. Reason. 15(4): 319-331 (1996) - [j19]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Wojciech Ziarko:
Rough Sets: Facts Versus Misconceptions. Informatica (Slovenia) 20(4) (1996) - [j18]Jerzy W. Grzymala-Busse, Soe Than:
Partition Triples: A Tool for Reduction of Data Sets. J. Comput. Syst. Sci. 53(3): 575-582 (1996) - 1995
- [j17]Zdzislaw Pawlak, Jerzy W. Grzymala-Busse, Roman Slowinski, Wojciech Ziarko:
Rough Sets. Commun. ACM 38(11): 88-95 (1995) - [j16]Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse:
The Usefulness of a Machine Learning Approach to Knowledge Acquisition. Comput. Intell. 11: 268-279 (1995) - 1994
- [j15]Linda K. Woolery, Jerzy W. Grzymala-Busse:
Research Paper: Machine Learning for an Expert System to Predict Preterm Birth Risk. J. Am. Medical Informatics Assoc. 1(6): 439-446 (1994) - 1993
- [j14]Jerzy W. Grzymala-Busse:
Selected Algorithms of Machine Learning from Examples. Fundam. Informaticae 18: 193-207 (1993) - [c14]Jerzy W. Grzymala-Busse:
Artificial Intelligence - Introduction. ICCI 1993: 288 - [c13]Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse:
Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets. RSKD 1993: 282-289 - [c12]Jerzy W. Grzymala-Busse:
ESEP: An Expert System for Environmental Protection. RSKD 1993: 466-473 - 1992
- [p1]Jerzy W. Grzymala-Busse:
LERS-A System for Learning from Examples Based on Rough Sets. Intelligent Decision Support 1992: 3-18 - 1991
- [j13]Jerzy W. Grzymala-Busse, Sachin Mithal:
On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples. Int. J. Softw. Eng. Knowl. Eng. 1(4): 413-438 (1991) - [c11]Jerzy W. Grzymala-Busse:
On the Unknown Attribute Values in Learning from Examples. ISMIS 1991: 368-377 - 1990
- [c10]Jerzy W. Grzymala-Busse, Sachin Mithal:
A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples. IEA/AIE (Vol. 2) 1990: 949-958
1980 – 1989
- 1989
- [c9]Jerzy W. Grzymala-Busse:
An overview of the LERS1 learning system. IEA/AIE (2) 1989: 838-844 - 1988
- [j12]Jerzy W. Grzymala-Busse:
Knowledge acquisition under uncertainty - a rough set approach. J. Intell. Robotic Syst. 1(1): 3-16 (1988) - 1987
- [j11]Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia:
New communication protocols from old. Comput. Commun. Rev. 17(5): 136-150 (1987) - [c8]Jerzy W. Grzymala-Busse:
Learning from Examples based on Rough Multisets. ISMIS 1987: 325-332 - 1986
- [j10]Jerzy W. Grzymala-Busse, Zamir Bavel:
Characterization of State-Independent Automata. Theor. Comput. Sci. 43: 1-10 (1986) - [c7]Jerzy W. Grzymala-Busse:
Algebraic properties of knowledge representation systems. ISMIS 1986: 432-440 - [c6]Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia, Rodolfo Mancisidor-Landa:
Tier automation representation of communication protocols. SIGCOMM 1986: 138-147
1970 – 1979
- 1975
- [j9]Jerzy W. Grzymala-Busse:
On partitions of the state set and relations in the input semigroup of automata (Russian). J. Inf. Process. Cybern. 11(10-12): 581-582 (1975) - [c5]Jerzy W. Grzymala-Busse:
Problems of the Change of Operating Time of Finite Automata. GI Jahrestagung 1975: 261-268 - [c4]Jerzy W. Grzymala-Busse:
On the Set of All Automata with the Same Monoid of Endomorphisms. MFCS 1975: 246-251 - 1974
- [c3]Jerzy W. Grzymala-Busse:
On the Periodic Sum and Extensions of Finite Automata. MFCS 1974: 46-52 - 1973
- [c2]Jerzy W. Grzymala-Busse:
On the Problem of Automata Set Representation. GI Jahrestagung 1973: 60-69 - [c1]Jerzy W. Grzymala-Busse:
On the Connectivity of the Periodic Sum of Automata. MFCS 1973: 231-234 - 1971
- [j8]Jerzy W. Grzymala-Busse:
Operation-Preserving Functions and Autononous Factors of Finite Automata. J. Comput. Syst. Sci. 5(5): 465-474 (1971) - [j7]Jerzy W. Grzymala-Busse:
Periodic Representations and T-Partitionable Equivalents of Sequential Machines. IEEE Trans. Computers 20(2): 190-198 (1971) - [j6]Jerzy W. Grzymala-Busse:
On the Decomposition of Periodic Representations of Sequential Machines. IEEE Trans. Computers 20(8): 929-933 (1971) - 1970
- [j5]Jerzy W. Grzymala-Busse:
Errata: "On the Periodic Representations and the Reducibility of Periodic Automata". J. ACM 17(4): 739 (1970) - [j4]Jerzy W. Grzymala-Busse:
On the Endomorphisms of Finite Automata. Math. Syst. Theory 4(4): 373-384 (1970)
1960 – 1969
- 1969
- [j3]Jerzy W. Grzymala-Busse:
Erratum: "Automorphisms of polyadic automata". J. ACM 16(1): 646 (1969) - [j2]Jerzy W. Grzymala-Busse:
Automorphisms of Polyadic Automata. J. ACM 16(2): 208-219 (1969) - [j1]Jerzy W. Grzymala-Busse:
On the Periodic Representations and the Reducibility of Periodic Automata. J. ACM 16(3): 432-441 (1969)
Coauthor Index
[j62] [j61] [c120] [j60] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [j57] [c112] [c111] [c110] [c108] [j56] [c107] [c106] [c105] [c104] [j54] [c103] [c102] [c100] [j53] [c99] [c98] [c95] [j52] [j51] [j50] [c94] [c93] [c92] [c91] [c90] [p17] [j48] [c89] [c88] [c86] [c85] [c84] [c82] [c81] [c80]
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