Mining association rules in multiple relations

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

Volumn 1297, Issue , 1997, Pages 125-132

  Dehaspe, Luc ^a   De Raedt, Luc ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Association rules; Inductive logic programming

Indexed keywords

EID: 84957890121     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3540635149_40     Document Type: Conference Paper

References (10)

1. E. Agrawal, T, Imielinski, and A, Swami, Mining assosiation rules between sets of items in large databases. In Proceedings of the 1998 International Conference on Management of Data (SIGMOD 93), pages 201-216, May 1993.
2. R. Agrawal, H. Mannila, E. Srikant, H. Toivonen, and A.I. Verkamo. Fast discovery of association rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 307-328. The MIT Press, 1996.
3. L. De Eaedt, editor. Advances in Inductive Logic Programming, volume 32 of Frontiers in Artificial Intelligence and Applications. IOS Press, 1996.
4. L. De Eaedt. Induction in logic. In E.S. Michalski and Wnek J., editors, Proceedings of the 3rd International Workshop on Multistrategy Learning, pages 29-38, 1996.
5. L. De Eaedt and S. Džeroski. First order jfc-clausal theories are PAC-learnable, Artificial Intelligence, 70:375-392, 1994.
6. S. Džeroski. Inductive logic programming and knowledge discovery in databases. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and E. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 118-152. The MIT Press, 1996.
7. M. Houtsma and A. Swami. Set-oriented mining of assocation rules. Technical Report EJ 9567, IBM Almaden Research Center, San Jose, Calif., 1993.
8. N. Lavrač and S. Džeroski. Inductive Logic Programming: Techniques and Applications. Ellis Horwood, 1994.
9. M.P. Marcus, B. Santorini, and M. A. Marcinkiewicz. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics, 19(2):313-330, 1993.
10. G. Plotkin. A note on inductive generalization. In Machine Intelligence, volume 5, pages 153-163. Edinburgh University Press, 1970.