Class association rule mining with chi-squared test using Genetic Network Programming

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 6, Issue , 2006, Pages 5338-5344

  Shimada, Kaoru ^a   Hirasawa, Kotaro ^a   Hu, Jinglu ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATABASE SYSTEMS; GENETIC ALGORITHMS; GRAPH THEORY;

ASSOCIATION RULE MINING; DENSE DATABASES; GENETIC NETWORK PROGRAMMING (GNP);

ASSOCIATION RULES;

EID: 34548139002     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2006.385157     Document Type: Conference Paper

References (16)

1. C. Zhang and S. Zhang, Association Rule Mining: models and algorithms, Springer, 2002.
2. R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," in Proc. of the 20th VLDB Conf., 1994, pp.487-499.
3. S. Brin, R. Motwani, and C. Silverstein, "Beyond market baskets: generalizing association rules to correlations," in Proc. of ACM SIGMOD, 1997, pp.265-276.
4. J. S. Park, M. S. Chen, and P. S. Yu, "An Effective Hash-Based Algorithm for Mining Association Rules," in Proc. of the 1995 ACM SIGMOD Conf., 1995, pp.175-186.
5. R. J. Bayardo Jr., R. Agrawal, and D. Gunopulos, "Constraint-Based Rule Mining in Large, Dense Databases," in Proc. of the 15th International Conf. on Data Engineering, 1999, pp.188-197.
6. A. K. H. Tung, H. Lu, J. Han, and L. Feng, "Efficient Mining of Intertransaction Association Rules," IEEE Transactions on Knowledge and Data Engineering, vol.15, no.1, pp.43-56, 2003.
7. X. Wu, C. Zhang, and S. Zhang, "Efficient Mining of Both Positive and Negative Association Rules," ACM Transactions on Information Systems, vol.22, no.3, pp.381-405, 2004.
8. K. Shimada, K. Hirasawa, and T. Furuzuki, "Association rule mining using genetic network programming," in Proc. of The 10th International Symp. on Artificial Life and Robotics 2005, 2005, pp.240-245.
9. K.Shimada, K.Hirasawa, and J.Hu, "Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database," in Proc. of International Conference on Computational Intelligence for Modelling, Control and Automation, vol.2, 2005, pp.47-54.
10. K. Shimada, K. Hirasawa, and J. Hu, "Genetic Network Programming with Acquisition Mechanisms of Association Rules," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.10, no.1, pp. 102-111, 2006.
11. T. Eguchi, K. Hirasawa, J. Hu, and N. Ota, "A study of Evolutionary Multiagent Models Based on Symbiosis," IEEE Trans. on System, Man and Cybernetics, B, vol.36, no.1, pp.179-193, 2006.
12. K. Hirasawa, M. Okubo, H. Katagiri, J. Hu, and J. Murata, "Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP)," in Proc. IEEE Congr. Evolutionary Computation, 2001, pp.1276-1282.
13. B. Liu, W. Hsu, and Y. Ma, "Integrating Classification and Association Rule Mining," in Proc. of ACM International Conf. on Knowledge Discovery and Data Mining, 1998, pp.80-86.
14. W. Li, J. Han, and J. Pei, "CMAR: Accurate and efficient classification based on multiple class-association rules," in Proc. of International Conf. on Data Mining 2001, 2001, pp.369-376.
15. M-L. Antonie and O. R. Zaïane, "An Associative Classifier based on Positive and Negative Rules," in Proc. of DMKD, 2004, pp.64-69.
16. C.Blake and C. Merz. UCI repository of machine learning databases. http://www.ics.uci.edu/mlearn/MLRepository.html.