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Jerzy W. Grzymala-Busse: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    CBMS, 2001, pp:11-16 [Conf]
  2. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Data Mining Methods Supporting Diagnosis of Melanoma. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:371-373 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    CBMS, 2001, pp:171-176 [Conf]
  4. Jan P. Grzymala-Busse, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Melanoma Prediction Using Data Mining System LERS. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2001, pp:615-620 [Conf]
  5. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Postprocessing of Rule Sets Induced from a Melanoma Data Set. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1146-1151 [Conf]
  6. Jerzy W. Grzymala-Busse
    On the Problem of Automata Set Representation. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1973, pp:60-69 [Conf]
  7. Jerzy W. Grzymala-Busse
    Problems of the Change of Operating Time of Finite Automata. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1975, pp:261-268 [Conf]
  8. Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe
    Diagnosis of Melanoma Based on Data Mining and ABCD Formulars. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:614-622 [Conf]
  9. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski
    Data Mining Experiments on Hop Processing Data. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:175-180 [Conf]
  10. Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe
    Diagnosis of Melanoma Using IRIM, a Data Mining System. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:996-1001 [Conf]
  11. Jerzy W. Grzymala-Busse
    Rough Set Approach to Incomplete Data. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:50-55 [Conf]
  12. Jianwen Fang, Jerzy W. Grzymala-Busse
    Leukemia Prediction from Gene Expression Data-A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:899-908 [Conf]
  13. Jerzy W. Grzymala-Busse
    Artificial Intelligence - Introduction. [Citation Graph (0, 0)][DBLP]
    ICCI, 1993, pp:288- [Conf]
  14. Jerzy W. Grzymala-Busse
    An overview of the LERS1 learning system. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (2), 1989, pp:838-844 [Conf]
  15. Jerzy W. Grzymala-Busse, Sachin Mithal
    A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 2), 1990, pp:949-958 [Conf]
  16. Alison Alvarez, Stanislaw Bajcar, Frank M. Brown, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Optimization of the ABCD Formula Used for Melanoma Diagnosis. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:233-240 [Conf]
  17. Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2002, pp:3-12 [Conf]
  18. Jerzy W. Grzymala-Busse
    MLEM2 - Discretization During Rule Induction. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:499-508 [Conf]
  19. Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Jay Hamilton IV
    Discriminant versus Strong Rule Sets. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2005, pp:67-76 [Conf]
  20. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Data Mining Experiments with the Melanoma Data Set. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2000, pp:27-34 [Conf]
  21. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2001, pp:43-55 [Conf]
  22. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
    Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2005, pp:431-435 [Conf]
  23. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski
    Data Mining Analysis of Granular Bed Caking during Hop Extraction. [Citation Graph (0, 0)][DBLP]
    ISDA, 2005, pp:426-431 [Conf]
  24. Jerzy W. Grzymala-Busse
    Learning from Examples based on Rough Multisets. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1987, pp:325-332 [Conf]
  25. Jerzy W. Grzymala-Busse
    On the Unknown Attribute Values in Learning from Examples. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1991, pp:368-377 [Conf]
  26. Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang
    Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1999, pp:612-620 [Conf]
  27. Jerzy W. Grzymala-Busse, L. John Old
    A Machine Learning Experiment to Determine Part of Speech from Word-Endings. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:497-506 [Conf]
  28. Jerzy W. Grzymala-Busse, Pankaj Shah
    A Comparison of Rule Matching Methods Used in AQ15 and LERS. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:148-156 [Conf]
  29. Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder
    Analysis of Self-Injurious Behavior by the LERS Data Mining System. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:395-399 [Conf]
  30. Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk
    A Comparison of Two Approaches to Data Mining from Imbalanced Data. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:757-763 [Conf]
  31. Jerzy W. Grzymala-Busse
    On the Connectivity of the Periodic Sum of Automata. [Citation Graph (0, 0)][DBLP]
    MFCS, 1973, pp:231-234 [Conf]
  32. Jerzy W. Grzymala-Busse
    On the Periodic Sum and Extensions of Finite Automata. [Citation Graph (0, 0)][DBLP]
    MFCS, 1974, pp:46-52 [Conf]
  33. Jerzy W. Grzymala-Busse
    On the Set of All Automata with the Same Monoid of Endomorphisms. [Citation Graph (0, 0)][DBLP]
    MFCS, 1975, pp:246-251 [Conf]
  34. 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. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:630-636 [Conf]
  35. Jerzy W. Grzymala-Busse
    Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:244-253 [Conf]
  36. Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse
    Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:282-289 [Conf]
  37. Jerzy W. Grzymala-Busse
    ESEP: An Expert System for Environmental Protection. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:466-473 [Conf]
  38. Jerzy W. Grzymala-Busse, Ming Hu
    A Comparison of Several Approaches to Missing Attribute Values in Data Mining. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:378-385 [Conf]
  39. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    A Search for the Best Data Mining Method to Predict Melanoma. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:538-545 [Conf]
  40. Jerzy W. Grzymala-Busse, Wojciech Rzasa
    Local and Global Approximations for Incomplete Data. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:244-253 [Conf]
  41. Jerzy W. Grzymala-Busse, Xihong Zou
    Classification Strategies Using Certain and Possible Rules. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:37-44 [Conf]
  42. Teresa Mroczek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Rules from Belief Networks: A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:483-487 [Conf]
  43. Jerzy W. Grzymala-Busse
    Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:244-253 [Conf]
  44. Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin
    A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:405-413 [Conf]
  45. Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng
    Handling Missing Attribute Values in Preterm Birth Data Sets. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (2), 2005, pp:342-351 [Conf]
  46. Jianwen Fang, Jerzy W. Grzymala-Busse
    Mining of MicroRNA Expression Data - A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:758-765 [Conf]
  47. Jerzy W. Grzymala-Busse
    A Rough Set Approach to Data with Missing Attribute Values. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:58-67 [Conf]
  48. Zamir Bavel, Jerzy W. Grzymala-Busse, Y. Hsia, R. Mancisidor-Landa
    Tier automation representation of communication protocols. [Citation Graph (0, 0)][DBLP]
    SIGCOMM, 1986, pp:138-147 [Conf]
  49. Jerzy W. Grzymala-Busse, Wojciech Ziarko
    Data Mining and Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 2000, v:43, n:4, pp:108-109 [Journal]
  50. Zdzislaw Pawlak, Jerzy W. Grzymala-Busse, Roman Slowinski, Wojciech Ziarko
    Rough Sets. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1995, v:38, n:11, pp:88-95 [Journal]
  51. Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia
    New communication protocols from old. [Citation Graph (0, 0)][DBLP]
    Computer Communication Review, 1987, v:17, n:5, pp:136-150 [Journal]
  52. Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse
    The Usefulness of a Machine Learning Approach to Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1995, v:11, n:, pp:268-279 [Journal]
  53. 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. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2001, v:17, n:3, pp:425-434 [Journal]
  54. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja
    Infoscience technology: the impact of internet accessible melanoid data on health issues. [Citation Graph (0, 0)][DBLP]
    Data Science Journal, 2005, v:4, n:, pp:77-81 [Journal]
  55. Jerzy W. Grzymala-Busse
    A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  56. Jerzy W. Grzymala-Busse
    Selected Algorithms of Machine Learning from Examples. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1993, v:18, n:, pp:193-207 [Journal]
  57. Jerzy W. Grzymala-Busse
    A New Version of the Rule Induction System LERS. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:31, n:1, pp:27-39 [Journal]
  58. Jerzy W. Grzymala-Busse
    Classification of Unseen Examples Under Uncertainty. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:30, n:3/4, pp:255-267 [Journal]
  59. Michal R. Chmielewski, Jerzy W. Grzymala-Busse
    Global discretization of continuous attributes as preprocessing for machine learning. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1996, v:15, n:4, pp:319-331 [Journal]
  60. Jerzy W. Grzymala-Busse, Jerzy Stefanowski
    Three discretization methods for rule induction. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2001, v:16, n:1, pp:29-38 [Journal]
  61. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:2, pp:125-134 [Journal]
  62. Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Wojciech Ziarko
    Rough Sets: Facts Versus Misconceptions. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1996, v:20, n:4, pp:- [Journal]
  63. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:104, n:1-2, pp:31-47 [Journal]
  64. Jerzy W. Grzymala-Busse
    Automorphisms of Polyadic Automata. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1969, v:16, n:2, pp:208-219 [Journal]
  65. Jerzy W. Grzymala-Busse
    On the Periodic Representations and the Reducibility of Periodic Automata. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1969, v:16, n:3, pp:432-441 [Journal]
  66. Jerzy W. Grzymala-Busse
    Erratum: ``Automorphisms of polyadic automata''. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1969, v:16, n:1, pp:646- [Journal]
  67. Jerzy W. Grzymala-Busse
    Errata: ``On the Periodic Representations and the Reducibility of Periodic Automata''. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1970, v:17, n:4, pp:739- [Journal]
  68. Jerzy W. Grzymala-Busse
    Operation-Preserving Functions and Autononous Factors of Finite Automata. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1971, v:5, n:5, pp:465-474 [Journal]
  69. Jerzy W. Grzymala-Busse, Soe Than
    Partition Triples: A Tool for Reduction of Data Sets. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1996, v:53, n:3, pp:575-582 [Journal]
  70. 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. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2003, v:21, n:2, pp:173-181 [Journal]
  71. Jerzy W. Grzymala-Busse
    On the Endomorphisms of Finite Automata. [Citation Graph (0, 0)][DBLP]
    Mathematical Systems Theory, 1970, v:4, n:4, pp:373-384 [Journal]
  72. Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang
    Increasing sensitivity of preterm birth by changing rule strengths. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:6, pp:903-910 [Journal]
  73. Jerzy W. Grzymala-Busse, Zamir Bavel
    Characterization of State-Independent Automata. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1986, v:43, n:, pp:1-10 [Journal]
  74. Jerzy W. Grzymala-Busse
    Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction. [Citation Graph (0, 0)][DBLP]
    , 2004, v:, n:, pp:78-95 [Journal]
  75. Jerzy W. Grzymala-Busse
    Three Strategies to Rule Induction from Data with Numerical Attributes. [Citation Graph (0, 0)][DBLP]
    , 2004, v:, n:, pp:54-62 [Journal]
  76. Jerzy W. Grzymala-Busse
    Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation. [Citation Graph (0, 0)][DBLP]
    , 2005, v:, n:, pp:58-68 [Journal]
  77. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Agnieszka Kordek, Teresa Mroczek, Wojciech Podraza
    Neonatal Infection Diagnosis Using Constructive Induction in Data Mining. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:289-296 [Conf]
  78. Jerzy W. Grzymala-Busse, Wojciech Rzasa
    Definability of Approximations for a Generalization of the Indiscernibility Relation. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:65-72 [Conf]
  79. Jianwen Fang, Jerzy W. Grzymala-Busse
    Mining Mass Spectrometry Database Search Results - A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:340-349 [Conf]
  80. Jerzy W. Grzymala-Busse
    Mining Numerical Data - A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:12-21 [Conf]
  81. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
    Deriving Belief Networks and Belief Rules from Data: A Progress Report. [Citation Graph (0, 0)][DBLP]
    T. Rough Sets, 2007, v:7, n:, pp:53-69 [Journal]
  82. Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
    An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values. [Citation Graph (0, 0)][DBLP]
    T. Rough Sets, 2007, v:6, n:, pp:31-50 [Journal]

  83. Sensitivity and Specificity for Mining Data with Increased Incompleteness. [Citation Graph (, )][DBLP]


  84. Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach. [Citation Graph (, )][DBLP]


  85. Local Approximations. [Citation Graph (, )][DBLP]


  86. A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm. [Citation Graph (, )][DBLP]


  87. A Multiple Scanning Strategy for Entropy Based Discretization. [Citation Graph (, )][DBLP]


  88. A Comparison of the LERS Classification System and Rule Management in PRSM. [Citation Graph (, )][DBLP]


  89. Inducing Better Rule Sets by Adding Missing Attribute Values. [Citation Graph (, )][DBLP]


  90. An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification. [Citation Graph (, )][DBLP]


  91. A Comparison of Six Approaches to Discretization-A Rough Set Perspective. [Citation Graph (, )][DBLP]


  92. Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach. [Citation Graph (, )][DBLP]


  93. A Comparison of Three Approximation Strategies for Incomplete Data Sets. [Citation Graph (, )][DBLP]


  94. Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm. [Citation Graph (, )][DBLP]


  95. Selected Topics of Data Mining. [Citation Graph (, )][DBLP]


  96. Classification of Medical Images in the Domain of Melanoid Skin Lesions. [Citation Graph (, )][DBLP]


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