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Wojciech Ziarko: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. S. K. Michael Wong, Wojciech Ziarko, P. C. N. Wong
    Generalized Vector Space Model in Information Retrieval. [Citation Graph (3, 0)][DBLP]
    SIGIR, 1985, pp:18-25 [Conf]
  2. S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
    On Modeling of Information Retrieval Concepts in Vector Space. [Citation Graph (2, 6)][DBLP]
    ACM Trans. Database Syst., 1987, v:12, n:2, pp:299-321 [Journal]
  3. Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
    Using Rough Sets as Tools for Knowledge Discovery. [Citation Graph (1, 0)][DBLP]
    KDD, 1995, pp:263-268 [Conf]
  4. S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
    On Extending the Vector Space Model for Boolean Query Processing. [Citation Graph (1, 0)][DBLP]
    SIGIR, 1986, pp:175-185 [Conf]
  5. Ramin Yasdi, Wojciech Ziarko
    An Expert System for Conceptual Schema Design: A Machine Learning Approach. [Citation Graph (1, 0)][DBLP]
    International Journal of Man-Machine Studies, 1988, v:29, n:4, pp:351-376 [Journal]
  6. S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
    Extended Boolean query processing in the generalized vector space model. [Citation Graph (1, 0)][DBLP]
    Inf. Syst., 1989, v:14, n:1, pp:47-63 [Journal]
  7. Howard J. Hamilton, Ning Shan, Wojciech Ziarko
    Machine Learning of Credible Classifications. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 1997, pp:330-339 [Conf]
  8. Wojciech Ziarko, Xiang Xiao
    Computing Minimal Probabilistic Rules from Probabilistic Decision Tables: Decision Matrix Approach. [Citation Graph (0, 0)][DBLP]
    AWIC, 2004, pp:84-94 [Conf]
  9. Wojciech Ziarko
    On Computing and Evaluation of Probabilistic Rules from Data. [Citation Graph (0, 0)][DBLP]
    DMIN, 2005, pp:243-248 [Conf]
  10. Wojciech Ziarko, S. K. Michael Wong
    Allocation of Documents in Two Level Memory for Information Retrieval Systems. [Citation Graph (0, 0)][DBLP]
    FODO, 1985, pp:191-198 [Conf]
  11. Wojciech Ziarko, Ning Shan
    Discovering attribute relationships, dependencies and rules by using rough sets. [Citation Graph (0, 0)][DBLP]
    HICSS (3), 1995, pp:293-299 [Conf]
  12. Wojciech Ziarko
    Set Approximation Quality Measures in the Variable Precision Rough Set Model. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:442-452 [Conf]
  13. Jack David Katzberg, Pauline Katzberg, Wojciech Ziarko
    Variable Precision Rough Sets Approach to Predicting Factors Affecting Delay Likelihoods. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:731-736 [Conf]
  14. Kwei Aryeetey, Wojciech Ziarko, Patricia Tai, Casely Ago
    Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2001, pp:1-12 [Conf]
  15. Shang Fulian, Wojciech Ziarko
    Acquisition of Vehicle Control Algorithms. [Citation Graph (0, 0)][DBLP]
    IIS, 2003, pp:341-350 [Conf]
  16. Wojciech Ziarko
    Optimal Decision Making with Data-Acquired Decision Tables. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Systems, 2000, pp:75-85 [Conf]
  17. David Brindle, Wojciech Ziarko
    Experiments with Rough Sets Approach to Speech Recognition. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1999, pp:376-384 [Conf]
  18. Xiaohua Hu, Ning Shan, Nick Cercone, Wojciech Ziarko
    DBROUGH: A Rough Set Based Knowledge Discovery System. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1994, pp:386-395 [Conf]
  19. Ramin Yasdi, Wojciech Ziarko
    Conceptual Schema Design: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1987, pp:379-391 [Conf]
  20. Wojciech Ziarko, Nick Cercone, Xiaohua Hu
    Rule Discovery from Databases with Decision Matrices. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:653-662 [Conf]
  21. Shusaku Tsumoto, Wojciech Ziarko
    The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:438-447 [Conf]
  22. Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
    Discovering Classification Knowledge in Databases Using Rough Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:271-274 [Conf]
  23. Tomasz Arciszewski, Wojciech Ziarko, Tariq L. Khan
    Learning Conceptual Design Rules: A Rough Sets Approach. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:444-449 [Conf]
  24. Aileen H. Liang, Wojciech Ziarko, R. Brien Maguire
    The Application of a Distance Learning Algorithm in Web-Based Course Delivery. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:338-345 [Conf]
  25. Jack David Katzberg, Wojciech Ziarko
    Variable Precision Rough Sets with Asymmetric Bounds. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:167-177 [Conf]
  26. Ning Shan, Wojciech Ziarko
    An Incremental Learning Algorithm for Constructing Decision Rules. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:326-334 [Conf]
  27. Wojciech Ziarko
    Rough Sets: Trends, Challenges, and Prospects. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:1-7 [Conf]
  28. Wojciech Ziarko
    On Learnability of Decision Tables. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2004, pp:394-401 [Conf]
  29. Wojciech Ziarko
    Stochastic Approach to Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:38-48 [Conf]
  30. Wojciech Ziarko
    Rough Sets and Knowledge Discovery: An Overview. [Citation Graph (0, 0)][DBLP]
    RSKD, 1993, pp:11-15 [Conf]
  31. Wojciech Ziarko
    Approximation Region-Based Decision Tables. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 1998, pp:178-185 [Conf]
  32. Wojciech Ziarko, Xue Fei
    VPRSM Approach to WEB Searching. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:514-521 [Conf]
  33. Michael Higgins, Wojciech Ziarko
    Computerized Spelling Recognition of Words Expressed in the Sound Approach. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:543-550 [Conf]
  34. Dominik Slezak, Wojciech Ziarko
    Variable Precision Bayesian Rough Set Model. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:312-315 [Conf]
  35. Wojciech Ziarko
    Evaluation of Probabilistic Decision Tables. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:189-196 [Conf]
  36. Wojciech Ziarko
    Probabilistic Rough Sets. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:283-293 [Conf]
  37. Wojciech Ziarko
    Decision Making with Probabilistic Decision Tables. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 1999, pp:463-471 [Conf]
  38. Wojciech Ziarko
    Partition Dependencies in Hierarchies of Probabilistic Decision Tables. [Citation Graph (0, 0)][DBLP]
    RSKT, 2006, pp:42-49 [Conf]
  39. S. K. Michael Wong, Wojciech Ziarko
    A Machine Learning Approach to Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1986, pp:228-233 [Conf]
  40. Tomasz Arciszewski, S. Khasnabis, S. Khurshidul Hoda, Wojciech Ziarko
    Machine learning in transportation engineering: A feasibility study. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1994, v:8, n:1, pp:109-124 [Journal]
  41. Wojciech Ziarko
    The First International Workshop on Rough Sets: State of the Art and Perspectives. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1993, v:14, n:3, pp:29-31 [Journal]
  42. 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]
  43. 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]
  44. Wojciech Ziarko
    Discovery Through Rough Set Theory. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1999, v:42, n:11, pp:54-57 [Journal]
  45. Ning Shan, Wojciech Ziarko
    Data-Based Acqusition and Incremental Modification of Classification Rules. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1995, v:11, n:, pp:357-370 [Journal]
  46. Wojciech Ziarko
    Probabilistic Decision Tables in the Variable Precision Rough Set Model. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2001, v:17, n:3, pp:593-603 [Journal]
  47. Wojciech Ziarko
    Introduction to the Special Issue on Rough Sets and Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1995, v:11, n:, pp:223-226 [Journal]
  48. Wojciech Ziarko, Ning Shan
    A Method for Computing All Maximally General Rules in Attribute-Value Systems. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1996, v:12, n:, pp:223-234 [Journal]
  49. Dominik Slezak, Wojciech Ziarko
    Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model. [Citation Graph (0, 0)][DBLP]
    Electr. Notes Theor. Comput. Sci., 2003, v:82, n:4, pp:- [Journal]
  50. Aijun An, Christine W. Chan, Ning Shan, Nick Cercone, Wojciech Ziarko
    Applying Knowledge Discovery to Predict Water-Supply Consumption. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1997, v:12, n:4, pp:72-78 [Journal]
  51. Wojciech Ziarko
    Response to O'Leary's article. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1995, v:10, n:2, pp:59-59 [Journal]
  52. Jack David Katzberg, Wojciech Ziarko
    Variable Precision Extension of Rough Sets. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1996, v:27, n:2/3, pp:155-168 [Journal]
  53. Wojciech Ziarko, Ning Shan
    Machine Learning Through Data Classification and Reduction. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1997, v:30, n:3/4, pp:373-382 [Journal]
  54. Dominik Slezak, Wojciech Ziarko
    The investigation of the Bayesian rough set model. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:40, n:1-2, pp:81-91 [Journal]
  55. Tomasz Arciszewski, M. Mustafa, Wojciech Ziarko
    A Methodology of Design Knowledge Acquisition for Use in Learning Expert Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1987, v:27, n:1, pp:23-32 [Journal]
  56. Zdzislaw Pawlak, S. K. Michael Wong, Wojciech Ziarko
    Rough Sets: Probabilistic versus Deterministic Approach. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1988, v:29, n:1, pp:81-95 [Journal]
  57. S. K. Michael Wong, Wojciech Ziarko, R. Li Ye
    Comparison of Rough-Set and Statistical Methods in Inductive Learning. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1986, v:25, n:1, pp:53-72 [Journal]
  58. 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]
  59. Wojciech Ziarko
    Variable Precision Rough Set Model. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1993, v:46, n:1, pp:39-59 [Journal]
  60. S. K. Michael Wong, Wojciech Ziarko
    A Unified Approach for Artificial Intelligence and Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR Forum, 1986, v:20, n:1-4, pp:14-15 [Journal]
  61. S. K. Michael Wong, Wojciech Ziarko
    A Concept-Learning Information Retrieval System - Basic Ideas. [Citation Graph (0, 0)][DBLP]
    SIGIR Forum, 1986, v:20, n:1-4, pp:16-17 [Journal]
  62. Wojciech Ziarko
    Incremental Learning and Evaluation of Structures of Rough Decision Tables. [Citation Graph (0, 0)][DBLP]
    , 2005, v:, n:, pp:162-177 [Journal]
  63. Mohamed Elhadi, Wojciech Ziarko
    Use of Rough Sets for the Identification and Analysis of Dependencies and Relationships in Biocontrol of Weeds. [Citation Graph (0, 0)][DBLP]
    AICCSA, 2007, pp:442-449 [Conf]
  64. Wojciech Ziarko
    Dependencies in Structures of Decision Tables. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:113-121 [Conf]
  65. Mawuena Glymin, Wojciech Ziarko
    Rough Set Approach to Spam Filter Learning. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:350-359 [Conf]

  66. Experiments with Rough Set Approach to Face Recognition. [Citation Graph (, )][DBLP]


  67. Rough Set-Based Incremental Learning Approach to Face Recognition. [Citation Graph (, )][DBLP]


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