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Publications of Author

1. Ivan Bruha
   Pre- and Post-processing in Machine Learning and Data Mining. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:258-266 [Conf]
   
2. Ivan Bruha, Frantisek Franek, Vladimir L. Rosicky
   The simulation of business rules in active databases using expert system approach. [Citation Graph (0, 0)][DBLP]
   ESM, 2000, pp:67-71 [Conf]
   
3. Pavel Brazdil, Ivan Bruha
   A Method of Processing Unknown Attribute Values by ID3. [Citation Graph (0, 0)][DBLP]
   ICCI, 1992, pp:253-256 [Conf]
   
4. Ivan Bruha, Pavel Kralik
   Embedding a Genetic Algorithm in Attribute-based Rule-inducing Learning. [Citation Graph (0, 0)][DBLP]
   IIA/SOCO, 1999, pp:- [Conf]
   
5. Ivan Bruha
   Unknown Attribute Values Processing by Meta-learner. [Citation Graph (0, 0)][DBLP]
   ISMIS, 2002, pp:451-461 [Conf]
   
6. Ivan Bruha
   Some Enhancements in Genetic Learning: A Case Study on Initial Population. [Citation Graph (0, 0)][DBLP]
   ISMIS, 2003, pp:539-543 [Conf]
   
7. Petr Berka, Ivan Bruha
   Discretization and Grouping: Preprocessing Steps for Data Mining. [Citation Graph (0, 0)][DBLP]
   PKDD, 1998, pp:239-245 [Conf]
   
8. Ivan Bruha, Frantisek Franek
   The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach. [Citation Graph (0, 0)][DBLP]
   PRIS, 2006, pp:119-126 [Conf]
   
9. Ivan Bruha, Sylva Kocková
   A support for decision-making: cost-sensitive learning system. [Citation Graph (0, 0)][DBLP]
   Artificial Intelligence in Medicine, 1994, v:6, n:1, pp:67-82 [Journal]
   
10. Ivan Bruha
    Al Multilanguage System McPOPLOG: The Power of Communication Between its Subsystems. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1992, v:35, n:6, pp:625-629 [Journal]
    
11. Ivan Bruha
    From machine learning to knowledge discovery: Survey of preprocessing and postprocessing. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2000, v:4, n:3-4, pp:363-374 [Journal]
    
12. Ivan Bruha, Pavel Kralik, Petr Berka
    Genetic learner: Discretization and fuzzification of numerical attributes. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2000, v:4, n:5, pp:445-460 [Journal]
    
13. Ivan Bruha, Josef Tkadlec
    Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:2, pp:99-124 [Journal]
    
14. Ivan Bruha, Frantisek Franek
    Comparison of Various Routines for Unknown Attribute Value Processing The Covering Paradigm. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:8, pp:939-955 [Journal]
    
15. Petr Berka, Ivan Bruha
    empirical Comparison of Various Discretization Procedures. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:7, pp:1017-1032 [Journal]
    
16. Sylva Kocková, Ivan Bruha
    A Covering Algorithm in Machine Learning from The Point of View of The Set Theory. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:3, pp:239-250 [Journal]
    
17. Josef Tkadlec, Ivan Bruha
    Formal Aspects of a Multiple-Rule Classifier. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:4, pp:581-600 [Journal]
    
18. Ivan Bruha, Sylva Kocková
    Quality of Decision Rules: Empirical and Statistical Approaches. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1993, v:17, n:3, pp:- [Journal]
    
19. Ivan Bruha
    Meta-Learner for Unknown Attribute Values Processing: Dealing with Inconsistency of Meta-Databases. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2004, v:22, n:1, pp:71-87 [Journal]
    
20. Ivan Bruha, Fazel Famili
    Postprocessing in Machine Learning and Data Mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:2, pp:110-114 [Journal]