Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm

1. An, A., Cercone, N.: Rule quality measures for rule induction systems: description and evaluation. Computational Intelligence 17(3), 409–424 (2001)

   Article  Google Scholar 

2. Fürnkranz, J., Flach, P.A.: Roc‘n‘ Rule Learning - Towards a Better understanding of covering Algorithms. Machine Learning 58, 39–77 (2005)

   Article  MATH  Google Scholar 

3. Clark, P., Niblett, T.: The CN2 Induction Algorithm. Machine Learning 3(4), 261–283 (1989)

   Google Scholar 

4. Cohen, W.W.: Fast effective rule induction. In: Proc. of the 12th Int. Conference ICML 1995, pp. 115–123 (1995)

   Google Scholar 

5. Grzymaa-Busse, J.W., Ziarko, W.: Data mining based on rough sets. In: Wang, J. (ed.) Data Mining Opportunities and Challenges, pp. 142–173. IGI Publishing, Hershey (2003)

   Chapter  Google Scholar 

6. Janssen, F., Fürnkranz, J.: On the quest for optimal rule learning heuristics. Machine Learning 78, 343–379 (2010)

   Article  MathSciNet  Google Scholar 

7. Michalski, R.S., Mozetic, I., Hong, J., Lavrac, N.: The AQ15 inductive learning system: An overview and experiments. ISG Report No. 20. Department of Computer Sciences, University of Illinois at Urbana-Champaign (1986)

   Google Scholar 

8. Mozina, M., Zabkar, J., Bratko, I.: Argument based machine learning. Artificial Intelligence 171, 922–937 (2007)

   Article  MathSciNet  MATH  Google Scholar 

9. Sikora, M.: An algorithm for generalization of decision rules by joining. Foundation on Computing and Decision Sciences 30(3), 227–239 (2005)

   Google Scholar 

10. Sikora, M.: Rule quality measures in creation and reduction of data rule models. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 716–725. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

11. Sikora, M.: Decision rule-based data models using TRS and netTRS – methods and algorithms. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets XI. LNCS, vol. 5946, pp. 130–160. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

12. Sikora, M., Gruca, A.: Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups. Pattern Recognition Letters 32, 258–269 (2011)

    Article  Google Scholar 

13. Stefanowski, J.: Rough set based rule induction techniques for classification problems. In: Proc. 6th European Congress of Intelligent Techniques and Soft Computing, Achen, September 7-10, vol. 1, pp. 107–119 (1998)

    Google Scholar 

14. Stefanowski, J., Vanderpooten, D.: Induction of Decision Rules in Classification and Discovery Oriented Perspectives. International Journal of Intelligent Systems 16, 13–27 (2001)

    Article  MATH  Google Scholar 

15. Webb, G.I.: Further experimental evidence against the utility of Occam‘s razor. Journal of Artificial Intelligence Research 4, 397–417 (1996)

    MATH  Google Scholar 

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