Discovery of surprising exception rules based on intensity of implication

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

Volumn 1510, Issue , 1998, Pages 10-18

  Suzuki, Einoshin ^a   Kodratoff, Yves ^b  

^a YOKOHAMA NATIONAL UNIVERSITY   (Japan)

^b UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COMMON SENSE; DOMAIN-INDEPENDENT APPROACH; EVALUATION CRITERIA; EXCEPTION RULES; INTENSITY OF IMPLICATION; INTERESTINGNESS; MODIFYING INTENSITY; UCI REPOSITORY;

DATA MINING;

EID: 84947703686     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0094800     Document Type: Conference Paper

References (10)

1. Agrawal, R., Mannila, H., Srikant, R. et al.: Fast Discovery of Association Rules, Advances in Knowledge Discovery and Data Mining, AAAI Press/The MIT Press (1996) 307-328
2. Fleury, L., Djeraba, C., Briand, H. and Philipp@, J.: Rule Evaluations in a KDD System, Database and Expert Systems Applications, Springer-Verlag (1995) 405-414
3. Gras, R. and Lahrer, A.: L'Implication Statistique: une Nouvelle Methode d'Analyse de Données, Mathematiques, Informatique et Sciences Humaines, 120 (1993) 5-31.
4. Lerman, I. C., Gras, R. and Rostam, H.: Elaboration et Evaluation d'un Indice d'Implication pour Données Binaire, Mathematiques, Informatique et Sciences Hurnaines, 74 (1981) 5-35
5. Merz, C. J. and Murphy, P. M.: UCI Repository of machine learning databases, http:///www.ics.uci.edu/'ralearn/MLRepository.htral, Univ. of California, Dept. of Information and Computer Sci. (1998)
6. Silberschatz, A. and Tuzhilin, A.: On Subjective Measures of Interestingness in Knowledge Discovery, Proc. of KDD-95 (1995) 275-281
7. Smyth, P. and Goodman, R. M.: An Information Theoretic Approach to Rule Induction from Databases, IEEE Trans. on Knowledge and Data Eng., 4 (4) (1992) 301-316
8. Suzuki, E. and Shimura, M.: Exceptional Knowledge Discovery in Databases based on Information Theory, Proc. of KDD-96 (1996) 275-278
9. Suzuki, E.: Discovering Unexpected Exceptions: A Stochastic Approach, Proe. of RSFD-96 (1996) 225-232
10. Suzuki, E.: Autonomous Discovery of Reliable Exception Rules, Proc. of KDD-97 (1997) 259-262