Evaluating class association rules using Genetic Relation Programming

2008 IEEE Congress on Evolutionary Computation, CEC 2008

Volumn , Issue , 2008, Pages 731-736

  Gonzales, Eloy ^a   Taboada, Karla ^a   Shimada, Kaoru ^a   Mabu, Shingo ^a   Hirasawa, Kotaro ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; BOOLEAN FUNCTIONS; CLARIFICATION; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; GENETIC PROGRAMMING; INFORMATION MANAGEMENT; MINING;

ASSOCIATION RULE MININGS; CONVENTIONAL METHODS; DATA MINING PROCESSES; DOMAIN EXPERTS; EVOLUTIONARY METHODS; GENETIC RELATIONS; SET OF RULES;

ASSOCIATIVE PROCESSING;

EID: 55749091137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4630877     Document Type: Conference Paper

References (11)

1. K. Shimada, K. Hirasawa and J. Hu, "Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming", in Proc. of IEEE Conference on Systems, Man and Cybernetics, pp. 5338-5344, Taipei, 2006/10.
2. N. Pasquier, Y. Bastide, R. Taouil and L. Lakhal, "Discovering Frequent Closed Itemsets for Association Rules". In Proc. 7th Intl. Conf on Database Theory, LNCS 1540, pp. 398-416, 1999,
3. M. J. Zaki, "Generating Non-redundant Association Rules". In Proc. KDD 2000, pp. 34-43. ACM press, 2000.
4. M. Kryszkiewicz, "Representative Association Rules and Minimum Condition Maximum Consequence Association Rules". In J.M. Zytkow and M. Quafalou (eds.)," Principles of Data Mining and Knowledge Discovery", PKDD'9S, LNCS 1510, pp. 361-369, Springer, 1998.
5. B. Lent, A. Swami and J. Widom, "Clustering Association Rules", In Proc. ICDE, IEEE Computer Soc. pp. 220-231. 1997
6. C. Blake and C. Merz. UCI Repository of machine learning databases. http://www.ics.uci.edu/mlearn/MLRepository.html.
7. J. R. Quinlan. "C4.5: Programs for Machine Learning". Morgan Kaufmann, 1993.
8. W. Cohen. "Fast effective rule induction". In ICML'95, pp. 115-123, Tahoe City, CA, July 1995.
9. B. Liu, W. Hsu, and Y. Ma. "Integrating classication and association rule mining". In KDD'98, pp. 80-86, New York, NY, Aug. 1998.
10. W. Li, J. Han, and J. Pei. "CMAR: Accurate and efficient classification based on multiple class-association rules". In ICDM'01, pp. 369-376, San Jose, CA, Nov. 2001.
11. X. Yin and J. Han, "CPAR:Classification based on Predictive Association Rules". In Proc. of 2003 SIAM International Conf. on Data Mining (SDM'03), 2003.