Confidence-based concept discovery in relational databases

2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

Volumn 4, Issue , 2009, Pages 282-286

  Kavurucu, Yusuf ^a   Senkul, Pinar ^a   Toroslu, Ismail Hakki ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; HIGH QUALITY; HYPOTHESIS EVALUATION; KNOWLEDGE DISCOVERY SYSTEMS; LANGUAGE PATTERNS; MULTIRELATIONAL DATA MINING; PROBLEM DEFINITION; RELATIONAL DATABASE; SEARCH SPACES; SEARCH STRATEGIES; SUPPORT AND CONFIDENCE;

COMPUTER SCIENCE;

DATABASE SYSTEMS;

EID: 71049141741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSIE.2009.267     Document Type: Conference Paper

References (11)

1. L. Dehaspe and L. D. Raedt. Mining association rules in multiple relations. In ILP'97: Proceedings of the 7th International Workshop on Inductive Logic Programming, pages 125-132, London, UK, 1997. Springer-Verlag.
2. B. Dolsak and S. Muggleton. The application of Inductive Logic Programming to finite element mesh design. In S. Muggleton, editor, Inductive Logic Programming. Academic Press, London, 1992.
3. S. Džeroski. Multi-relational data mining: an introduction. SIGKDD Explorations, 5(1):1-16, 2003.
4. Y. Kavurucu, P. Senkul, and I. H. Toroslu. Aggregation in confidence-based concept discovery for multi-relational data mining. In IADIS European Conference on Data Mining (ECDM), Amsterdam, Netherland, July 2008.
5. Y. Kavurucu, P. Senkul, and I. H. Toroslu. Confidence-based concept discovery in multi-relational data mining. In IAENG International Conference on Data Mining and Applications (ICDMA), pages 446-451, Hong Kong, March 2008.
6. R. Michalski and J. Larson. Inductive inference of vl decision rules. In Workshop on Pattern-Directed Inference Systems, volume 63, pages 33-44, Hawaii, 1997. SIGART Newsletter, ACM.
7. S. Muggleton. Inverse entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming, 13(3-4):245-286, 1995.
8. S. Muggleton. Inductive Logic Programming. In The MIT Encyclopedia of the Cognitive Sciences (MITECS). MIT Press, 1999.
9. J. R. Quinlan. Learning logical definitions from relations. Mach. Learn., 5(3):239-266, 1990.
10. J. Roberto J. Bayardo, R. Agrawal, and D. Gunopulos. Constraint-based rule mining in large, dense databases. Data Mining and Knowledge Discovery, 4(2-3):217-240, 2000.
11. A. Srinivasan, R. D. King, S. H. Muggleton, and M. Sternberg. The predictive toxicology evaluation challenge. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pages 1-6. Morgan-Kaufmann, 1997.