2008 | ||
---|---|---|
106 | 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 Springer 2008 | |
105 | 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 Springer 2008 | |
104 | 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 | |
103 | EE | Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse: Inducing Better Rule Sets by Adding Missing Attribute Values. RSCTC 2008: 160-169 |
102 | EE | Jerzy W. Grzymala-Busse, Yiyu Yao: A Comparison of the LERS Classification System and Rule Management in PRSM. RSCTC 2008: 202-210 |
101 | EE | 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 |
100 | EE | Jerzy W. Grzymala-Busse: Three Approaches to Missing Attribute Values: A Rough Set Perspective. Data Mining: Foundations and Practice 2008: 139-152 |
99 | EE | Jerzy W. Grzymala-Busse: MLEM2 Rule Induction Algorithms: With and Without Merging Intervals. Data Mining: Foundations and Practice 2008: 153-164 |
98 | EE | 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 |
97 | EE | Jerzy W. Grzymala-Busse, Wojciech Rzasa: Approximation Space and LEM2-like Algorithms for Computing Local Coverings. Fundam. Inform. 85(1-4): 205-217 (2008) |
96 | EE | Jerzy W. Grzymala-Busse, Wojciech Rzasa: Local and Global Approximations for Incomplete Data. T. Rough Sets 8: 21-34 (2008) |
2007 | ||
95 | 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 Springer 2007 | |
94 | EE | Jerzy W. Grzymala-Busse, Wojciech Rzasa: Definability of Approximations for a Generalization of the Indiscernibility Relation. FOCI 2007: 65-72 |
93 | EE | Jianwen Fang, Jerzy W. Grzymala-Busse: Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach. GrC 2007: 231-236 |
92 | EE | 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 |
91 | EE | Jerzy W. Grzymala-Busse: Mining Numerical Data - A Rough Set Approach. RSEISP 2007: 12-21 |
90 | EE | Jianwen Fang, Jerzy W. Grzymala-Busse: Mining Mass Spectrometry Database Search Results - A Rough Set Approach. RSEISP 2007: 340-349 |
89 | EE | 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 |
88 | EE | Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse: An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values. T. Rough Sets 6: 31-50 (2007) |
87 | EE | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek: Deriving Belief Networks and Belief Rules from Data: A Progress Report. T. Rough Sets 7: 53-69 (2007) |
2006 | ||
86 | EE | Jianwen Fang, Jerzy W. Grzymala-Busse: Leukemia Prediction from Gene Expression Data-A Rough Set Approach. ICAISC 2006: 899-908 |
85 | EE | Jerzy W. Grzymala-Busse, Wojciech Rzasa: Local and Global Approximations for Incomplete Data. RSCTC 2006: 244-253 |
84 | EE | Jerzy W. Grzymala-Busse: A Rough Set Approach to Data with Missing Attribute Values. RSKT 2006: 58-67 |
83 | EE | Jianwen Fang, Jerzy W. Grzymala-Busse: Mining of MicroRNA Expression Data - A Rough Set Approach. RSKT 2006: 758-765 |
82 | EE | Jerzy W. Grzymala-Busse: Rough Set Strategies to Data with Missing Attribute Values. Foundations and Novel Approaches in Data Mining 2006: 197-212 |
2005 | ||
81 | EE | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe: Data Mining Methods Supporting Diagnosis of Melanoma. CBMS 2005: 371-373 |
80 | EE | 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 |
79 | EE | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski: Data Mining Experiments on Hop Processing Data. HIS 2005: 175-180 |
78 | EE | 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 |
77 | 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 | |
76 | Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Jay Hamilton IV: Discriminant versus Strong Rule Sets. Intelligent Information Systems 2005: 67-76 | |
75 | EE | Jerzy W. Grzymala-Busse: Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations. RSFDGrC (1) 2005: 244-253 |
74 | EE | 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 |
73 | Jerzy W. Grzymala-Busse: LERS - A Data Mining System. The Data Mining and Knowledge Discovery Handbook 2005: 1347-1351 | |
72 | Jerzy W. Grzymala-Busse: Rule Induction. The Data Mining and Knowledge Discovery Handbook 2005: 277-294 | |
71 | Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse: Handling Missing Attribute Values. The Data Mining and Knowledge Discovery Handbook 2005: 37-57 | |
70 | EE | 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) |
69 | EE | Jerzy W. Grzymala-Busse: Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation. T. Rough Sets: 58-68 (2005) |
2004 | ||
68 | 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 Springer 2004 | |
67 | James F. Peters, Andrzej Skowron, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka: Transactions on Rough Sets I Springer 2004 | |
66 | James F. Peters, Andrzej Skowron, Didier Dubois, Jerzy W. Grzymala-Busse, Masahiro Inuiguchi, Lech Polkowski: Transactions on Rough Sets II Springer 2004 | |
65 | EE | Jerzy W. Grzymala-Busse: Rough Set Approach to Incomplete Data. ICAISC 2004: 50-55 |
64 | EE | Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe: Diagnosis of Melanoma Using IRIM, a Data Mining System. ICAISC 2004: 996-1001 |
63 | EE | Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk: A Comparison of Two Approaches to Data Mining from Imbalanced Data. KES 2004: 757-763 |
62 | EE | 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 |
61 | EE | 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 |
60 | EE | 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 |
59 | EE | Jerzy W. Grzymala-Busse: Three Strategies to Rule Induction from Data with Numerical Attributes. T. Rough Sets: 54-62 (2004) |
58 | EE | Jerzy W. Grzymala-Busse: Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction. T. Rough Sets: 78-95 (2004) |
2003 | ||
57 | 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 | |
56 | 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 | |
55 | Jerzy W. Grzymala-Busse: MLEM2 - Discretization During Rule Induction. IIS 2003: 499-508 | |
54 | EE | Jerzy W. Grzymala-Busse: A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes. Electr. Notes Theor. Comput. Sci. 82(4): (2003) |
53 | 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) | |
52 | EE | 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) |
2002 | ||
51 | EE | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe: Postprocessing of Rule Sets Induced from a Melanoma Data Set. COMPSAC 2002: 1146-1151 |
50 | 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 | |
49 | EE | 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 |
48 | 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) | |
2001 | ||
47 | EE | 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 |
46 | EE | 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 |
45 | EE | Jan P. Grzymala-Busse, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe: Melanoma Prediction Using Data Mining System LERS. COMPSAC 2001: 615-620 |
44 | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe: Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms. Intelligent Information Systems 2001: 43-55 | |
43 | EE | 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 |
42 | 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. Computational Intelligence 17(3): 425-434 (2001) | |
41 | Jerzy W. Grzymala-Busse, Jerzy Stefanowski: Three discretization methods for rule induction. Int. J. Intell. Syst. 16(1): 29-38 (2001) | |
2000 | ||
40 | EE | Jerzy W. Grzymala-Busse, Pankaj Shah: A Comparison of Rule Matching Methods Used in AQ15 and LERS. ISMIS 2000: 148-156 |
39 | Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe: Data Mining Experiments with the Melanoma Data Set. Intelligent Information Systems 2000: 27-34 | |
38 | EE | 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 |
37 | EE | Jerzy W. Grzymala-Busse, Wojciech Ziarko: Data Mining and Rough Set Theory. Commun. ACM 43(4): 108-109 (2000) |
1999 | ||
36 | 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 | |
35 | 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 | ||
34 | EE | Jerzy W. Grzymala-Busse, Xihong Zou: Classification Strategies Using Certain and Possible Rules. Rough Sets and Current Trends in Computing 1998: 37-44 |
33 | 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) | |
1997 | ||
32 | Jerzy W. Grzymala-Busse, L. John Old: A Machine Learning Experiment to Determine Part of Speech from Word-Endings. ISMIS 1997: 497-506 | |
31 | Jerzy W. Grzymala-Busse: Classification of Unseen Examples Under Uncertainty. Fundam. Inform. 30(3/4): 255-267 (1997) | |
30 | Jerzy W. Grzymala-Busse: A New Version of the Rule Induction System LERS. Fundam. Inform. 31(1): 27-39 (1997) | |
1996 | ||
29 | Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Wojciech Ziarko: Rough Sets: Facts Versus Misconceptions. Informatica (Slovenia) 20(4): (1996) | |
28 | EE | Michal R. Chmielewski, Jerzy W. Grzymala-Busse: Global discretization of continuous attributes as preprocessing for machine learning. Int. J. Approx. Reasoning 15(4): 319-331 (1996) |
27 | 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 | ||
26 | Zdzislaw Pawlak, Jerzy W. Grzymala-Busse, Roman Slowinski, Wojciech Ziarko: Rough Sets. Commun. ACM 38(11): 88-95 (1995) | |
25 | Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse: The Usefulness of a Machine Learning Approach to Knowledge Acquisition. Computational Intelligence 11: 268-279 (1995) | |
1993 | ||
24 | Jerzy W. Grzymala-Busse: Artificial Intelligence - Introduction. ICCI 1993: 288 | |
23 | 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 | |
22 | Jerzy W. Grzymala-Busse: ESEP: An Expert System for Environmental Protection. RSKD 1993: 466-473 | |
21 | Jerzy W. Grzymala-Busse: Selected Algorithms of Machine Learning from Examples. Fundam. Inform. 18: 193-207 (1993) | |
1991 | ||
20 | Jerzy W. Grzymala-Busse: On the Unknown Attribute Values in Learning from Examples. ISMIS 1991: 368-377 | |
19 | EE | Jerzy W. Grzymala-Busse, Sachin Mithal: On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples. International Journal of Software Engineering and Knowledge Engineering 1(4): 413-438 (1991) |
1990 | ||
18 | EE | 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 |
1989 | ||
17 | EE | Jerzy W. Grzymala-Busse: An overview of the LERS1 learning system. IEA/AIE (2) 1989: 838-844 |
1988 | ||
16 | EE | Jerzy W. Grzymala-Busse: Knowledge acquisition under uncertainty - a rough set approach. Journal of Intelligent and Robotic Systems 1(1): 3-16 (1988) |
1987 | ||
15 | Jerzy W. Grzymala-Busse: Learning from Examples based on Rough Multisets. ISMIS 1987: 325-332 | |
14 | EE | Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia: New communication protocols from old. Computer Communication Review 17(5): 136-150 (1987) |
1986 | ||
13 | EE | Zamir Bavel, Jerzy W. Grzymala-Busse, Y. Hsia, R. Mancisidor-Landa: Tier automation representation of communication protocols. SIGCOMM 1986: 138-147 |
12 | Jerzy W. Grzymala-Busse, Zamir Bavel: Characterization of State-Independent Automata. Theor. Comput. Sci. 43: 1-10 (1986) | |
1975 | ||
11 | Jerzy W. Grzymala-Busse: Problems of the Change of Operating Time of Finite Automata. GI Jahrestagung 1975: 261-268 | |
10 | Jerzy W. Grzymala-Busse: On the Set of All Automata with the Same Monoid of Endomorphisms. MFCS 1975: 246-251 | |
1974 | ||
9 | Jerzy W. Grzymala-Busse: On the Periodic Sum and Extensions of Finite Automata. MFCS 1974: 46-52 | |
1973 | ||
8 | Jerzy W. Grzymala-Busse: On the Problem of Automata Set Representation. GI Jahrestagung 1973: 60-69 | |
7 | Jerzy W. Grzymala-Busse: On the Connectivity of the Periodic Sum of Automata. MFCS 1973: 231-234 | |
1971 | ||
6 | Jerzy W. Grzymala-Busse: Operation-Preserving Functions and Autononous Factors of Finite Automata. J. Comput. Syst. Sci. 5(5): 465-474 (1971) | |
1970 | ||
5 | EE | Jerzy W. Grzymala-Busse: Errata: ``On the Periodic Representations and the Reducibility of Periodic Automata''. J. ACM 17(4): 739 (1970) |
4 | Jerzy W. Grzymala-Busse: On the Endomorphisms of Finite Automata. Mathematical Systems Theory 4(4): 373-384 (1970) | |
1969 | ||
3 | EE | Jerzy W. Grzymala-Busse: Erratum: ``Automorphisms of polyadic automata''. J. ACM 16(1): 646 (1969) |
2 | EE | Jerzy W. Grzymala-Busse: Automorphisms of Polyadic Automata. J. ACM 16(2): 208-219 (1969) |
1 | EE | Jerzy W. Grzymala-Busse: On the Periodic Representations and the Reducibility of Periodic Automata. J. ACM 16(3): 432-441 (1969) |