A paradigm shift: Combined literature and ontology-driven data mining for discovering novel relations in biomedical domain

ICDM Workshops 2009 - IEEE International Conference on Data Mining

Volumn , Issue , 2009, Pages 51-57

  Sebastian, Y ^a   Loh, Brian C S ^a   Then, Patrick H H ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Malaysia)

Author keywords

Biomedical knowledge discovery; Combined literature ontology based data mining; Domain driven data mining; Rule interestingness; Swanson's logical relation

Indexed keywords

BIOMEDICAL KNOWLEDGE DISCOVERY; COMBINED LITERATURE ONTOLOGY-BASED DATA MINING; KNOWLEDGE DISCOVERY; LOGICAL RELATIONS; ONTOLOGY-BASED; RULE INTERESTINGNESS;

ASSOCIATIVE PROCESSING; ONTOLOGY; TECHNICAL PRESENTATIONS;

DATA MINING;

EID: 77951200326     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.56     Document Type: Conference Paper

References (26)

1. U.M. Fayyad, G. Piatetsky-Shapiro, and R. Uthurusamy, "Summary from the KDD-03 Panel - Data mining: The next 10 years", ACM SIGKDD Explorations Newsletter, vol.5, no.2, Dec 2003, pp.191-196, doi:10.1145/980972.981004.
2. L. Geng and H.J. Hamilton, "Interestingness measures for data mining: A survey", ACM Computing Surveys, vol.38, no.3, article 9, Sept 2006, pp.1-32, doi: 10.1145/1132960.1132963. (Pubitemid 44498422)
3. M. Ohsaki, H. Abe, S. Tsumoto, H. Yokoi, and T. Yamaguchi, "Evaluation of rule interestingness measures in medical knowledge discovery in databases", Artificial Intelligence in Medicine, vol.41, 2007, pp.177-196, doi: 10.1016/j.artmed.2007.07.005. (Pubitemid 350019630)
4. D.R. Carvalho, A.A. Freitas, and N. Ebecken, "Evaluating the correlation between objective rule interestingness measures and real human interest", Proc. the Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD '05), Springer, October 2005, pp.453-461, doi: 10.1007/11564126-45.
5. nd UK KDD workshop, vol. 9, no.1, BCS-SGAI, Autumn 2006, pp.41-47, doi:10.1.1.97.4869.
6. L. Cao, "Domain-driven, actionable knowledge discovery", IEEE Intelligent Systems, vol.22, no.4, July-Aug 2007, pp.78-88, doi: 10.1109/MIS.2007.67. (Pubitemid 47274709)
7. A. Tsymbal, S. Zillner, and M. Huber, "Ontology-supported machine learning and decision-support in biomedicine", Proc. the Fourth International Workshop of Data Integration in the Life Sciences (DILS '07), June 2007, pp.156-171, doi: 10.1007/978-3-540-73255-6-14.
8. L. Cao, C. Zhang, and J. Liu, "Ontology-based integration of business intelligence", Web Intelligence and Agent Systems, vol.4, no.3, pp.313-325, 2006.
9. Y.-T.Kuo, A. Lonie, L. Sonenberg, and K. Paizis, "Domain ontology driven data mining: a medical case study", Proc. the ACM SIGKDD International Workshop on Domain-Driven Data Mining (DDDM '07), Aug 2007, pp.11-17, doi:10.1145/1288552.1288554. (Pubitemid 351203776)
10. J. Li, N. Circone, S.W.H. Wong, and L.J. Yan, "Enhancing rule importance measure using concept hierarchy", Proc. the Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models Workshop (QIMIE '09), April 2009, pp.43-54.
11. C. Marinica, F. Guillet, and H. Briand, "Post-processing of discovered association rules using ontologies", Proc. the IEEE Second International Workshop on Domain-Driven Data Mining (DDDM '08), Dec 2008, pp.126-133, doi: 10.1109/ICDMW.2008.87.
12. D.R. Swanson, "Fish oil, Raynaud's syndrome, and undiscovered public knowledge", Perspectives in Biology and Medicine, vol.30, no.1, pp.7-18, 1986.
13. D.R. Swanson, "Medical literature as a potential source of new knowledge", Bulletin of Medical Library Association, vol.78, no.1, pp.29-37, 1990.
14. N.R. Smalheiser, V.I.Torvik, and W. Zhou, "Arrowsmith two-node search interface: a tutorial on finding meaningful links between two disparate sets of articles in MEDLINE", Computer Methods and Programs in Biomedicine, vol.94, no.2, May 2009, pp.190-197, doi:10.1016/j.cmpb.2008.12. 006.
15. D. Hristovski, J. Stare, B. Peterlin, and S. Dzeroski, "Supporting discovery in medicine by association rule mining in Medline and UMLS", MEDINFO 2001, vol.84, pp.1344-1348, 2001.
16. L.J. Jensen, J. Saric, and P. Bork, "Literature mining for the biologist: from information retrieval to biological discovery", Nature Reviews Genetics, vol.7, February 2006, pp.119-129, doi: 10.1038/nrg1768. (Pubitemid 43128897)
17. B. Aleman-Meza, C. Halaschek-Wiener, I.B. Arpinar, C. Ramakrishnan, and A.P. Sheth, "Ranking complex relationships on the semantic web", IEEE Internet Computing, vol.9, no.3, May/June 2005, pp.37-44, doi:10.1109/MIC.2005. 63. (Pubitemid 40871234)
18. X. Hu, X. Zhang and X. Zhou, "Comparison of seven methods for mining hidden links", in Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications, X.Hu and Y. Pan, Eds, New Jersey: Wiley Interscience, 2007, pp.27-44.
19. C. Ordonez, N. Ezquerra, and C.A. Santana, "Constraining and summarizing association rules in medical data", Knowledge and Information Systems, vol. 9, no.3, 2006, pp.259-283, doi: 10.1007/s10115-005-0226-5. (Pubitemid 43507134)
20. R. Agrawal, T. Imielinski, and A. Swami, "Mining association rules between sets of items in large databases", Proc. of the 1993 ACM SIGMOD Conference, May 1993, pp.207-216, doi: 10.1.1.93.3576.
21. T.C. Rindflesch, B. Libbus, D. Hristovski, A.R. Aronson, and H. Kilicoglu, "Semantic relations asserting the etiology of genetic diseases", Proc. in Annual Symposium of American Medical Informatics Association 2003 (AMIA 2003), pp.554-558, 2003.
22. T. Saracevic, "Relevance: a review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance", Journal of the American Society for Information Science and Technology, vol.58, no.13, 2007, pp.1915-1933, doi:10.1002/asi.v58:13. (Pubitemid 350229698)
23. E. Suzuki, "Interestingness measures - Limits, desiderata, and recent results", Proc. Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE/PAKDD 2009), April 2009, pp.1-3.
24. K. McGarry, "A survey of interestingness measures for knowledge discovery", The Knowledge Engineering Review, vol.20, no.1, 2005, pp.39-61, doi:10.1017/S0269888905000408. (Pubitemid 41742824)
25. D. Demner-Fushman, "Complex question answering based on a semantic domain model of clinical medicine", PhD Thesis, University of Maryland, College Park, 2006.
26. C.J. McDonald, "The Lister Hill National Center for Biomedical Communications Annual Report FY 2007", U.S. National Library of Medicine, 2007.