The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.160secs, Finished in 0.165secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002