Consistent fuzzy concept hierarchies for attribute generalization

Proceedings of the IASTED International Conference on Information and Knowledge Sharing

Volumn , Issue , 2003, Pages 158-163

  Angryk, Rafal A ^a   Petry, Frederick E ^a  

^a Tulane University   (United States)

Author keywords

Attribute oriented induction; Data Generalization; Fuzzy Concept Hierarchies; Knowledge Discovery in Databases

Indexed keywords

DATA ACQUISITION; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; FUZZY SETS; HIERARCHICAL SYSTEMS; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; MATHEMATICAL MODELS;

ATTRIBUTE-ORIENTED INDUCTION; DATA GENERALIZATION; FUZZY CONCEPT HIERARCHIES; KNOWLEDGE DISCOVERY IN DATABASES;

KNOWLEDGE ACQUISITION;

EID: 1542433880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. B.W. Wah, Generalization and Generalizability Measures, IEEE Transactions On Knowledge And Data Engineering, 11(1), 1999, 175-186.
2. J. Han & M. Kamber, Data Mining: Concepts and Techniques (New York, NY: Morgan Kaufmann, 2000).
3. J. Han & Y. Fu, Exploration of the Power of Attribute-Oriented Induction in Data Mining, in U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth & R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining (Menlo Park, CA: AAAI/MIT Press, 1996) 399-421.
4. J. Han, Y. Cai, & N. Cereone, Knowledge discovery in databases: An attribute-oriented approach, Proc. 18th Int. Conf. Very Large Data Bases, Vancouver, Canada, 1992, 547-559.
5. J. Han, Mining Knowledge at Multiple Concept Levels, Proc. 4th Int'l Conf. on Information and Knowledge Management, Baltimore, Maryland, 1995, 19-24.
6. R. Srikant & R. Agrawal, Mining Generalized Association Rules, Proc. 21st Int'l Conference on Very Large Databases, Zurich, Switzerland, 1995, 407-419.
7. D.H. Lee and M.H. Kim, Database summarization using fuzzy ISA hierarchies, IEEE Transactions On Sysems, Man, and Cybernetics - part B, 27(1), 1997, 68-78.
8. G. Raschia, L. Ughetto, N. Mouaddib, Data summarization using extended concept hierarchies, Proc. Joint 9th IFSA World Congress and 20th NAFIPS Int'l Conf., Vancouver, BC, Canada, 2001, 2289-2294.
9. J. C. Cubero, J.M. Medina, O. Pons, M.A. Vila, Data Summarization in Relational Databases Through Fuzzy Dependencies, Information Sciences, 121(3-4), 1999, 233-270.
10. K.-M. Lee, Mining generalized fuzzy quantitative association rules with fuzzy generalization hierarchies, Proc. Joint 9th IFSA World Congress and 20th NAFIPS Int'l Conf., Vancouver, Canada, 2001, 2977-2982.
11. H.J. Hamilton, R.J. Hilderman & N. Cercone, Attribute-oriented induction using domain generalization graphs, Proc. 8th IEEE Int'l Conf. on Tools with Artificial Intelligence, Toulouse, France, 1996, 246-253.
12. C. L. Carter & H. J. Hamilton, Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases, IEEE Transactions on Knowledge and Data Engineering, 10(2), 1998, 193-208.
13. R.J. Hilderman, H.J. Hamilton & N. Cercone, Data mining in large databases using domain generalization graphs, Journal of Intelligent Information Systems, 13(3), 1999, 195-234.
14. R.R. Yager, On linguistic summaries of data, in W. Frawley & G. Piatetsky-Shapiro (Eds.), Knowledge Discovery in Databases (Menlo Park, CA: AAAI/MIT Press, 1991) 347-363.
15. D. Rasmussen & R.R. Yager, A Fuzzy SQL Summary Language for Data Discovery, in D. Dubois, H. Prade and R.R. Yager (Eds.), Fuzzy Information Engineering: A Guided Tour of Applications (New York, NY: John Wiley and Sons Inc., 1997) 253-264.
16. J. Kacprzyk, Fuzzy logic for linguistic summarization of databases, Proc. 8th Int'l Conf. on Fuzzy Systems, Seoul, Korea, 1999, 813-818.
17. D. Dubois & H. Prade, Fuzzy sets in data summaries - outline of a new approach, Proc. 8th Int'l Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Madrid, 2000, 1035-1040.