Fuzzy functional dependencies and fuzzy association rules

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

Volumn 1676, Issue , 1999, Pages 229-240

  Yang, Yuping ^a   Singhal, Mukesh ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b NATIONAL SCIENCE FOUNDATION   (United States)

Author keywords

Fuzzy association rule; Fuzzy functional dependency; Measurement

Indexed keywords

CLUSTERING ALGORITHMS; DATA MINING; DATA WAREHOUSES; FUZZY RULES; FUZZY SET THEORY; MEASUREMENTS; WAREHOUSES;

CLUSTERING PROBLEMS; DATA ASSOCIATION; DATA MINING PROBLEMS; FUZZY ASSOCIATION RULE; FUZZY FUNCTIONAL DEPENDENCIES;

ASSOCIATION RULES;

EID: 84873101776     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48298-9_25     Document Type: Conference Paper

References (10)

1. Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules Between Sets of Items in Large Databases. In Proc. (ACM SIGMOD) Int'l Conference on Manage- ment of Data, (1993), 207-216.
2. Agrawal, R., Srikant, R.: Fast Algorithm for Mining Association Rules. In Proc. 20th VLDB (1994), 478-499.
3. Han, J., Cai, Y., Cercone, N.: Data-Driven Discovery of Quantitative Rules in Relational Databases. In IEEE Translations on Knowledge and Data Engineering, (1993), 5(1): 29-40.
4. Saxena, P.C., Tyagi, B.K.: Fuzzy Functional Dependencies and Independencies in Extended Fuzzy Relational Database Models. In Fuzzy Sets and Systems 69 (1995), 65-89.
5. Liu, W.-Y.: Extending the Relational Model to Deal with Fuzzy Values. In Fuzzy Sets and Systems 60 (1993), 207-212.
6. Raju, K., Majumdar, A.: Fuzzy Functional Dependencies and Lossless Join Decom- position of Fuzzy Relational Database Systems. In ACM Transactions on Database Systems, Vol. 13, No.2, 1988.
7. Piatetsky-Shapiro, G.: Discovery, Analysis, and Presentation of Strong Rules. In Knowledge Discovery in Databases. Editors G. P.-Shapiro and W. J. Frawley, AAAI Press/MIT Press, (1991) 229-248.
8. Srikant, R., Agrawal, R.: Mining Quantitative Association Rules in Large Relational Tables. In Proc. (ACM SIGMOD) Int'l Conference on Management of Data, (1996), 1-12.
9. Miller, R.J., Yang, Y: Association Rules over Interval Data. In Proc. (ACM SIG- MOD) Int'l Conference on Management of Data, (1997).
10. Yang, Y., Singhal, M: H-Rule Mining in Heterogeneous Databases. In Proc. of The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, published in Lecture Notes in Artificial Intelligence 1574, Methodologies for Knowledge Discovery and Data Mining, by Springer-Verlag, (1999), 99-103.