Decision tree-based paraconsistent learning

Proceedings - International Conference of the Chilean Computer Science Society, SCCC

Volumn 1999-November, Issue , 1999, Pages 43-52

  Enembreck, Fabrica ^a   Sabourin, Robert ^b  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; INFORMATION MANAGEMENT; LEARNING SYSTEMS; TREES (MATHEMATICS);

C4.5 ALGORITHM; CLASSIFICATION ACCURACY; HIGH RATE; INCONSISTENT INFORMATION; MACHINE LEARNING TECHNIQUES; PARACONSISTENT LOGIC; UNCERTAINTY MANAGEMENT;

DATA MINING;

EID: 35048815893     PISSN: 15224902     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCCC.1999.810152     Document Type: Conference Paper

References (27)

1. B. C. Ávila, Uma Abordagem Paraconsistente Baseada em Lógica Evidencial para Tratar Exceções em Sistemas de Frames com Múltipla Herança (A Evidential Logic-Based Paraconsistent Approach to Handle Exceptions in Multiple Inheritance Frame Systems), University of São Paulo, 1996.
2. B. C. Ávila, J. M. Abe, J. P.A Prado, "ParaLog-e: A Paraconsistent Evidential Logic Programming Language", XVII International Conference of the Chilean Computer Science Society, pp. 2-8, 1997-November.
3. H. A. Blair, V. S. Subrahmanian, Paraconsistent Logic Programming, pp. 24, 1987.
4. H. A. Blair, V. S. Subrahmanian, "Paraconsistent Foundations for Logic Programming", Journal of Non-Classic al Logic, vol. 5, no. 2, pp. 45-73, 1988.
5. B. G. Buchanan, E. H. Shortliffe, Rule-Based Expet Systems: The Mycin Experiments of the Stanford Heuristic Programming Project, USA:Addison-Wesley Publishing Company, pp. 209-292, 1984.
6. M. A. Casanova, F. A. C. Giorno, A. L. F. Furtado, Programação em Lógica e a Linguagem Prolog, São Paulo:Editora Edgard Blücher LTDA, 1987.
7. N. C. A. da Costa, "Calculs Propositionnels pour les Systèmes Formels Inconsistants", Compte Rendu Acad. des Sciences (Paris), vol. 257, pp. 3790-3792, 1963.
8. N. C. A. da Costa, "On the Theory of Inconsistent Formal Systems", Notre Dame J. of Formal Logic, vol. 15, pp. 497-510, 1974.
9. N. C. A. da Costa, E. H. Alves, "Relations between Paraconsistent Logic and Many-Valued Logic" in Bull. of the Section of Logic, Polish Academy of Sciences, vol. 10, pp. 185-191, 1981.
10. N. C. A. da Costa, L. J. Henschen, J. J. Lu, V. S. Subrahmanian, "Automatic Theorem Proving in Paraconsistent Logics: Theory and Implementation", Proc. 10 International Conference on Automated Deduction, vol. 449, pp. 72-86, 1990.
11. J. Dougherty, R. Kohavi, M. Sahami, "Supervised and Unsupervised Discretization of Continuous Features", Proceedings of the Twelfth International Conference on Machine Learning, pp. 194-201, 1995-July-9-12.
12. R. Hanson, J. Stutz, P. Cheeseman, Bayesian Classification Theory, pp. 9, 1990.
13. S. J. Henkind, M. C. Harrison, "An Analysis of Four Uncertainty Calculi", IEEE Transactions on Systems Man and Cybernetics, vol. 18, no. 5, pp. 700-714, September/October 1988.
14. M. Kamber, L. Winstone, W. Gong, S. Cheng, J. Han, "Generalization and Decision Tree Induction: Efficient Classification in Data Mining", Proc. of 1997 International Workshop on Research Issues on Data Engineering (RIDE'97), pp. 111-120, 1997-April.
15. Y. Ma, Inductive Classifier Learning From Data: An Extended Bayesian Belief Function Approach, Graduate College of the University of Illinois, 1995.
16. A. McCallum, K. Nigam, A Comparison of Event Models for Naïve Bayes Text Classification, Pittsburg:School of Computer Science, Carnegie Mellon University, 1998.
17. T. M. Mitchell, Machine Learning McGraw-Hill Series in Computer Science, USA:McGraw-Hill Companies, 1997.
18. R. E. Neapolitan, Probabilistic Reasoning In Expert Systems: Theory and Algorithms, USA:Wiley-Interscience Publication, 1990.
19. N. Keung-Chi, B. Abramson, "Uncertainty Management in Expert Systems", IEEE Expert, pp. 29-47, April 1990.
20. B. Pfahringer, "Compression-Based Discretization of Continuous Attributes", Proceedings of the Twelfth International Conference on Machine Learning, pp. 456-463, 1995-July-9-12.
21. J. R. Quinlan, "Induction of Decision Trees" in Machine Learning, Netherlands:Kluwer Academic Publishers, vol. 1, pp. 81-106, 1986.
22. J. R. Quinlan, C4.5: Programs for Machine Learning, California, San Mateo:Morgan Kauffman Publishers, 1993.
23. E. Rich, K. Knight, Artificial Intelligence, McGraw-Hill, Inc., 1991.
24. M. Richeldi, M. Rossotto, "Class-Driven Statistical Discretization of Continuous Attributes (Extended Abstract)", 8th ECML, pp. 335-338, 1995-April.
25. L. Sterling, E. Shapiro, The Art of Prolog: Advanced Programming Techniques, Massachussets:The MIT Press, 1986.
26. V. S. Subrahmanian, "Towards a Theory of Evidential Reasoning in Logic Programming", Logic Colloquium '87 The European Summer Meeting of the Association for Symbolic Logic, 1987-July.
27. M. H. van Emden, "Quantitative Deduction and Its Fixpoint Theory", The Jornal of Logic Programming, vol. 1, pp. 37-53, 1986.