Domain ontology driven data mining: A medical case study

2007 International Workshop on Domain Driven Data Mining, DDDM2007

Volumn , Issue , 2007, Pages 11-17

  Kuo, Yen Ting ^a   Lonie, Andrew ^a   Sonenberg, Liz ^a   Paizis, Kathy ^b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b AUSTIN HEALTH   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN KNOWLEDGE; MEDICAL DOMAIN ONTOLOGY;

ASSOCIATION RULES; DATA STRUCTURES; DATABASE SYSTEMS; DISEASES; MEDICAL COMPUTING; ONTOLOGY; PATIENT TREATMENT;

DATA MINING;

EID: 38849165867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1288552.1288554     Document Type: Conference Paper

References (9)

1. H. Cespivova, V. Svatek, and M. Tomeckova. Roles of medical ontology in association mining CRISP-DM cycle. In Knowledge Discovery and Ontologies (KDO) at ECML/PKDD, 2004.
2. Y.-L. Chen and S. yi Wu. Mining temporal patterns from sequence database of interval-based events. In L. Wang, L. Jiao, G. Shi, X. Li, and J. Liu, editors, FSKD, volume 4223 of Lecture Notes in Computer Science, pages 586-595. Springer, 2006.
3. P. Domingos. Toward knowledge-rich data mining. Data Mining and Knowledge Discovery, published online, April 2007.
4. S. Jaroszewicz and D. A. Simovici. Interestingness of frequent itemsets using bayesian networks as background knowledge. In W. Kim, R. Kohavi, J. Gehrke, and W. DuMouchel, editors, KDD, pages 178-186. ACM, 2004.
5. D. Kudenko. Ontology-based constructive induction. In International Conference on Machine Intelligence, ICMI, 2000.
6. J. Phillips and B. G. Buchanan. Ontology-guided knowledge discovery in databases. In K-CAP '01: Proceedings of the 1st international conference on Knowledge capture, pages 123-130, New York, NY, USA, 2001. ACM Press.
7. J. Rauch. Interesting association rules and multi-relational association rules. Communications of Institute of Information and Computing Machinery, 5(2):77-82, 2002.
8. E. Winarko and J. F. Roddick. Discovering richer temporal association rules from interval-based data. In A. M. Tjoa and J. Trujillo, editors, DaWaK, volume 3589 of Lecture Notes in Computer Science, pages 315-325. Springer, 2005.
9. D. Xin, X. Shen, Q. Mei, and J. Han. Discovering interesting patterns through user's interactive feedback. In T. Eliassi-Rad, L. H. Ungar, M. Craven, and D. Gunopulos, editors, KDD, pages 773-778. ACM, 2006.