Learning fuzzy association rules and associative classification rules

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2006, Pages 1454-1459

  Han, Jianchao ^a  

^a CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Associative classification rules; Fuzzy association rules; Positive and negative association rules

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; DATABASE SYSTEMS; FUZZY RULES; LEARNING SYSTEMS;

ASSOCIATIVE CLASSIFICATION RULES; FUZZY ASSOCIATION; FUZZY ASSOCIATION RULES; KNOWLEDGE DISCOVERY COMMUNITY; NEGATIVE ASSOCIATION RULES;

FUZZY CONTROL;

EID: 34250757996     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681900     Document Type: Conference Paper

References (20)

1. R. Agrawal, T. Imielinski, A. Swami, Mining Association Rules between Sets of Items in Large Databases, Proc. of ACM SIGMOD Conf. on Management of Data, 207-216, 1993.
2. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, A. Verkamo, Fast Discovery of Association Rules, Advances in Knowledge Discovery and Data Mining, ed. by U. Fayyard, et al., AAAI Press, 307-328, 1996.
3. M. Antonie, O. Zaiane, An Associative Classifier Based on Positive and Negative Rules, Data Mining and Knowledge Discovery, 64-69, 2004.
4. E. Baralis, P. Gazza, A. Lazy Approach to Pruning Classification Rules, Proc. IEEE International Conference on Data Mining, 35-42, 2002.
5. P. Bosc, D. Dubois, O. Pivert, H. Prade, On Fuzzy Association Rules Based on Fuzzy Cardinalities, Proc. of IEEE Internal. Fuzzy Systems Conf., 461-464, 2001.
6. P. Bosc, O. Pivert, On some Fuzzy Extensions of Association Rules, Proc. of Joint 9th IFSA World Congress and 20th NAFIPS Internal. Conf., 1104-1109, 2001.
7. S. Brin, R. Motwani, C. Silverstein, Beyond Market Baskets: Generalizing Association Rules to Correlations, Proc. of ACM SIGMOD internal. Conf. on Management of Data, 265-276, 1997.
8. M. De Cock, C. Cornelis, E. E. Kerre, Fuzzy Association Rules: a Two-Sided Approach, Proc. of Internal. Conf. on Fuzzy Information Processing-Theories and Applications, 385-390, 2003.
9. D. Dubois, E. Hullermeier, H. Prade, A Note on Quality Measures for Fuzzy Association Rules, LNAI 2715, 346-353, 2003.
10. J. Han, Y. Fu, Discovery of multiple-level association rules, Proc. of 21th Int'l Conf. on Very Large Data Bases, 420-432, 1995.
11. E. Hullermeier, Fuzzy Association Rules: Semantic Issues and Quality Measures, Lecture Notes in Computer Science 2206, 380-391, 2001.
12. E. Hullermeier, Mining Implication-Based Fuzzy Association Rules in Databases, Proc. of 9th Int'l Conf. on Info. Processing and Management of Uncertainty in Knowledge-Based Systems I: 101-108, 2002.
13. W. Li, J. Han, J. Pei, CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules, Proc. of IEEE International Conference on Data Mining, 2001.
14. B. Liu, W. Hsu, Y. Ma, Integrating Classification and Association Rule Mining, Proc. ACM International Conference on Knowledge Discovery and Data Mining, 90-86, 1998.
15. A. Savasere, E. Omiecinski, S. Navathe, Mining for Strong Negative Associations in a Large Databases of Customer Transactions, Proc. of Int'l Conf. on Data Engineering, 491-502, 1998.
16. R. Srikant, R. Agrawal, Mining Quantitative Association Rules in Large Relational Tables, Proc. of the ACM SIGMOD Int'l Conf. on Management of Data, 1-12, 1996.
17. R. Srikant, A. Agrawal, Mining Generalized Association Rules, Proc. of 21th Int'l Conf. on Very Large Databases, 407-419, 1995.
18. S. Srikant, Q. Vu, R. Agrawal, Mining Association Rules with Item Constraints, Proc. of ACMKDD Internal. Conf. on Knowledge Discovery and Data Mining, 67-73, 1997.
19. X. Wu, C. Zhang, S. Zhang, Mining Both Positive and Negative Association Rules, Proc. of 19th International Conference on Machine Learning, 658-665, 2002.
20. C. Zhang, S. Zhang, Association Rule Mining - Models and Algorithms, Lecture Notes in Artificial Intelligence 2037:1-8, Springer-Verlag, 2002.