DocumentCode :
2775548
Title :
A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain
Author :
Sebastian, Y. ; Loh, Brian C S ; Then, Patrick H H
Author_Institution :
Sch. of Comput. & Design, Swinburne Univ. of Technol., Kuching, Malaysia
fYear :
2009
fDate :
6-6 Dec. 2009
Firstpage :
51
Lastpage :
57
Abstract :
We introduce a novel domain-driven rule discovery and evaluation algorithm based on Swanson´s logical relation approach. Over more than a decade, rules have been mined from large biomedical datasets and been evaluated solely based on statistical properties of the rules or user-belief specifications. This approach faces tremendous challenges to determine novel, actionable and interesting rules. In this paper, we introduce a new paradigm in addressing rule interestingness problem using domain knowledge. We demonstrate that novel and interesting association rules can be discovered from large medical datasets based on its ability to infer previously unknown relations in biomedical domain. Our data mining algorithm shows that we can effectively achieve this task by incorporating biomedical domain knowledge by combining both literatures and ontology. We outline the conceptual-architectural framework for future implementation of this methodology.
Keywords :
data mining; medical computing; ontologies (artificial intelligence); very large databases; Swanson logical relation approach; conceptual-architectural framework; domain knowledge; domain-driven rule discovery; large biomedical datasets; ontology-driven data mining; rule interestingness problem; statistical properties; user-belief specifications; Algorithm design and analysis; Association rules; Biomedical computing; Conferences; Data mining; Databases; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2009. ICDMW '09. IEEE International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-5384-9
Electronic_ISBN :
978-0-7695-3902-7
Type :
conf
DOI :
10.1109/ICDMW.2009.56
Filename :
5360528
Link To Document :
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