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Semantic ScholarJerzy W. Grzymala-Busse
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- affiliation: University of Kansas, Lawrence, USA
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2010 – today
- 2017
[j57]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
A Comparison of Mining Incomplete and Inconsistent Data. ITC 46(2): 183-193 (2017)- [c100]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 - [c99]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 - [c98]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
- [j56]Jerzy W. Grzymala-Busse, Teresa Mroczek:
A Comparison of Four Approaches to Discretization Based on Entropy. Entropy 18(3): 69 (2016) - [j55]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) - [c97]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 - [c96]Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse:
A Comparison of Mining Incomplete and Inconsistent Data. ICIST 2016: 414-425 - [c95]
- [c94]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
- [j54]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Consistency of incomplete data. Inf. Sci. 322: 197-222 (2015) - [c93]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining incomplete data with many attribute-concept values and "do not care" conditions. Big Data 2015: 1597-1602 - [c92]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 - [c91]Jerzy W. Grzymala-Busse, Teresa Mroczek:
A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5. PReMI 2015: 44-53 - [c90]
- [c89]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Many Lost and Attribute-Concept Values. RSKT 2015: 100-109 - [p16]Jerzy W. Grzymala-Busse:
Rule Induction from Rough Approximations. Handbook of Computational Intelligence 2015: 371-385 - [p15]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
- [j53]Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets. Fundam. Inform. 132(3): 365-379 (2014) - [j52]Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen:
Generalized probabilistic approximations of incomplete data. Int. J. Approx. Reasoning 55(1): 180-196 (2014) - [j51]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) - [c88]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 - [c87]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining incomplete data with lost values and attribute-concept values. GrC 2014: 49-54 - [c86]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions. HAIS 2014: 156-167 - [c85]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 - [c84]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 - [p14]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
- [j50]Jerzy W. Grzymala-Busse:
Discretization Based on Entropy and Multiple Scanning. Entropy 15(5): 1486-1502 (2013) - [j49]Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction. Fundam. Inform. 127(1-4): 177-191 (2013) - [j48]Jerzy W. Grzymala-Busse:
Generalized Probabilistic Approximations. Trans. Rough Sets 16: 1-16 (2013) - [c83]
- [c82]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 - [c81]Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations. RSFDGrC 2013: 77-86 - [c80]Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Generalizations of Approximations. RSKT 2013: 41-52 - [p13]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 - [p12]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
- [j47]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm. IJGCRSIS 2(3): 257-271 (2012) - [c79]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on rule induction from incomplete data using three probabilistic approximations. GrC 2012: 78-83 - [c78]Jerzy W. Grzymala-Busse:
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm. IPMU (1) 2012: 270-279 - [c77]Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen:
Local Probabilistic Approximations for Incomplete Data. ISMIS 2012: 93-98 - [c76]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]Tian-rui 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
- [j46]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) - [j45]Jerzy W. Grzymala-Busse, Yiyu Yao:
Probabilistic rule induction with the LERS data mining system. Int. J. Intell. Syst. 26(6): 518-539 (2011) - [c75]Patrick G. Clark, Jerzy W. Grzymala-Busse:
Experiments on probabilistic approximations. GrC 2011: 144-149 - [c74]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining data with numerical attributes and missing attribute values - A rough set approach. GrC 2011: 214-219 - [c73]Jerzy W. Grzymala-Busse:
A Comparison of Some Rough Set Approaches to Mining Symbolic Data with Missing Attribute Values. ISMIS 2011: 52-61 - [c72]
- [c71]
- [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
- [j44]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
A Local Version of the MLEM2 Algorithm for Rule Induction. Fundam. Inform. 100(1-4): 99-116 (2010) - [j43]Jerzy W. Grzymala-Busse:
Mining Numerical Data - A Rough Set Approach. Trans. Rough Sets 11: 1-13 (2010) - [j42]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Definability and Other Properties of Approximations for Generalized Indiscernibility Relations. Trans. Rough Sets 11: 14-39 (2010) - [c70]
- [c69]Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm. GrC 2010: 115-120 - [c68]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 - [c67]Jerzy W. Grzymala-Busse, Shantan R. Marepally:
Sensitivity and Specificity for Mining Data with Increased Incompleteness. ICAISC (1) 2010: 355-362 - [c66]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 - [c65]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 - [c64]Jerzy W. Grzymala-Busse:
Rough set and CART approaches to mining incomplete data. SoCPaR 2010: 214-219 - [p11]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Handling Missing Attribute Values. Data Mining and Knowledge Discovery Handbook 2010: 33-51 - [p10]
- [p9]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
- [j41]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. Inform. 94(2): 121-131 (2009) - [c63]Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek:
Synthesis of Static Medical Images with an Active Shape Model. ICMMI 2009: 429-434 - [c62]
- [c61]Jerzy W. Grzymala-Busse:
A Multiple Scanning Strategy for Entropy Based Discretization. ISMIS 2009: 25-34 - [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
- [j40]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Approximation Space and LEM2-like Algorithms for Computing Local Coverings. Fundam. Inform. 85(1-4): 205-217 (2008) - [j39]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Local and Global Approximations for Incomplete Data. Trans. Rough Sets 8: 21-34 (2008) - [c60]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 - [c59]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Inducing Better Rule Sets by Adding Missing Attribute Values. RSCTC 2008: 160-169 - [c58]Jerzy W. Grzymala-Busse, Yiyu Yao:
A Comparison of the LERS Classification System and Rule Management in PRSM. RSCTC 2008: 202-210 - [c57]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 - [p8]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 - [p7]Jerzy W. Grzymala-Busse:
Three Approaches to Missing Attribute Values: A Rough Set Perspective. Data Mining: Foundations and Practice 2008: 139-152 - [p6]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, Tian-rui 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
- [j38]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) - [j37]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) - [c56]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Definability of Approximations for a Generalization of the Indiscernibility Relation. FOCI 2007: 65-72 - [c55]Jianwen Fang, Jerzy W. Grzymala-Busse:
Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach. GrC 2007: 231-236 - [c54]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 - [c53]
- [c52]Jianwen Fang, Jerzy W. Grzymala-Busse:
Mining Mass Spectrometry Database Search Results - A Rough Set Approach. RSEISP 2007: 340-349 - [c51]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
- [c50]Jerzy W. Grzymala-Busse, Gustavo P. Sudre:
A comparison of two partial matching strategies for classification of unseen cases. GrC 2006: 800-805 - [c49]Jianwen Fang, Jerzy W. Grzymala-Busse:
Leukemia Prediction from Gene Expression Data-A Rough Set Approach. ICAISC 2006: 899-908 - [c48]Jerzy W. Grzymala-Busse, Wojciech Rzasa:
Local and Global Approximations for Incomplete Data. RSCTC 2006: 244-253 - [c47]Jerzy W. Grzymala-Busse:
A Rough Set Approach to Data with Missing Attribute Values. RSKT 2006: 58-67 - [c46]Jianwen Fang, Jerzy W. Grzymala-Busse:
Mining of MicroRNA Expression Data - A Rough Set Approach. RSKT 2006: 758-765 - [p5]Jerzy W. Grzymala-Busse:
Rough Set Strategies to Data with Missing Attribute Values. Foundations and Novel Approaches in Data Mining 2006: 197-212 - 2005
- [j36]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja:
Infoscience technology: the impact of internet accessible melanoid data on health issues. Data Science Journal 4: 77-81 (2005) - [j35]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. J. Intelligent Manufacturing 16(6): 565-573 (2005) - [j34]
- [c45]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe:
Data Mining Methods Supporting Diagnosis of Melanoma. CBMS 2005: 371-373 - [c44]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 - [c43]Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski:
Data Mining Experiments on Hop Processing Data. HIS 2005: 175-180 - [c42]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Jay Hamilton:
Discriminant versus Strong Rule Sets. Intelligent Information Systems 2005: 67-76 - [c41]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 - [c40]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 - [c39]Jerzy W. Grzymala-Busse:
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations. RSFDGrC (1) 2005: 244-253 - [c38]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 - [p4]Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Handling Missing Attribute Values. The Data Mining and Knowledge Discovery Handbook 2005: 37-57 - [p3]Jerzy W. Grzymala-Busse:
Rule Induction. The Data Mining and Knowledge Discovery Handbook 2005: 277-294 - [p2]Jerzy W. Grzymala-Busse:
LERS - A Data Mining System. The Data Mining and Knowledge Discovery Handbook 2005: 1347-1351 - 2004
- [j33]
- [j32]
- [c37]
- [c36]Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe:
Diagnosis of Melanoma Using IRIM, a Data Mining System. ICAISC 2004: 996-1001 - [c35]Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk:
A Comparison of Two Approaches to Data Mining from Imbalanced Data. KES 2004: 757-763 - [c34]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 - [c33]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 - [c32]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 - [p1]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
- [j31]Jerzy W. Grzymala-Busse:
A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes. Electr. Notes Theor. Comput. Sci. 82(4): 132-140 (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 Recognition Letters 24(6): 903-910 (2003) - [c31]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 - [c30]