SDS-rules and association rules

Proceedings of the ACM Symposium on Applied Computing

Volumn 1, Issue , 2004, Pages 520-524

  Karban, Tomáš ^a   Rauch, Jan ^b   Šimůnek, Milan ^b  

^a CHARLES UNIVERSITY   (Czech Republic)

^b UNIVERSITY OF ECONOMICS   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN ALGEBRA; DATA ACQUISITION; DATA MINING; KNOWLEDGE ACQUISITION; MATRIX ALGEBRA; MOTIVATION; PARAMETER ESTIMATION; PROBLEM SOLVING; SET THEORY; STATISTICAL MECHANICS;

ASSOCIATION RULES; DISJOINT SETS; QUANTIFIER PARAMETERS; STATISTICAL HYPOTHESES TESTS;

OBJECT ORIENTED PROGRAMMING;

EID: 2442573856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/967900.968010     Document Type: Conference Paper

References (5)

1. Aggravai, R. et al.: Fast Discovery of Association Rules (in Fayyad, U. M. et al.: Advances in Knowledge Discovery and Data Mining, pages 307-328), AAAI Press / MIT Press, 1996
2. Hájek, P. - Havránek, T.: Mechanizing Hypothesis Formation - Mathematical Foundations for a General Theory, Springer-Verlag, 1978
3. Rauch, J.: Classes of Four-Fold Table Quantifiers (in Zytkow, J. - Quafafou, M.: Principles of Data Mining and Knowledge Discovery, pages 203-211), Springer-Verlag, 1998
4. Rauch, J. - Šimůnek, M.: Alternative Approach to Mining Association Rules (in FDM 2002, The Foundation of Data Mining and Knowledge Discovery, The Proceedings of the Workshop of ICDM02, ISBN: 4-947717-02-6, pages 157-162), Japan, December 2002
5. The STULONG Project: http://euromise.vse.cz/stulong-en/