Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3214, Issue , 2004, Pages 1283-1290

  Lee, Yeong Chyi ^a   Hong, Tzung Pei ^b   Lin, Wen Yang ^a  

^a I SHOU UNIVERSITY   (Taiwan)

^b NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; FUZZY RULES; KNOWLEDGE BASED SYSTEMS;

APRIORI ALGORITHMS; FUZZY ASSOCIATION RULE; MAXIMUM CONSTRAINTS; MINIMUM SUPPORT; MINIMUM SUPPORT THRESHOLDS; MULTIPLE MINIMUM SUPPORTS; QUANTITATIVE DATA; REAL APPLICATIONS;

DATA MINING;

EID: 35048814557     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30133-2_171     Document Type: Article

References (11)

1. Agrawal R, Imielinksi T and Swami A, Mining association rules between sets of items in large database, The ACM SIGMOD Conference, pp. 207-216, Washington DC, USA, 1993.
2. Cai C. H, Fu W. C, Cheng C. H and Kwong W. W, Mining association rules with weighted items, The International Database Engineering and Applications Symposium, 1998, pp. 68-77.
3. Fukuda T, Morimoto Y, Morishita S and Tokuyama T, Mining optimized association rules for numeric attributes, The ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pp. 182-191, 1996.
4. Hong T. P, Kuo C. S and Chi S. C, Mining association rules from quantitative data, Intelligent Data Analysis, Vol. 3, No. 5, 1999, pp. 363-376.
5. Lee Y. C, Hong T. P and Lin W. Y, Mining association rules with multiple minimum supports using maximum constraints, The Workshop on the Foundation of Data Mining and Discovery in The 2002 IEEE International Conference on Data Mining, 2002, pp. 171-175.
6. Liu B, Hsu W, and Ma Y, Mining association rules with multiple minimum supports, in Proceedings of the 1999 International Conference on Knowledge Discovery and Data Mining, 1999, pp. 337-341.
7. Rastogi R and Shim K, Mining optimized association rules with categorical and numeric attributes, The 14th IEEE International Conference on Data Engineering, Orlando, 1998, pp. 503-512.
8. Srikant R and Agrawal R, Mining quantitative association rules in large relational tables, The 1996 ACM SIGMOD International Conference on Management of Data, pp. 1-12, Montreal, Canada, 1996.
9. Wang K, Han Y. H amd J, Mining frequent itemsets using support constraints, in Proceedings of the 26th International Conference on Very Large Data Bases, 2000, pp. 43-52.
10. Yuan Y and Shaw M. J, Induction of fuzzy decision trees, Fuzzy Sets and Systems, Vol. 69, No. 2, 1995, pp. 125-139.
11. Yue S, Tsang E, Yeung D and Shi D, Mining fuzzy association rules with weighted items, The IEEE International Conference on Systems, Man and Cybernetics, 2000, pp. 1906-1911.