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) |