Knowledge discovery in biomedical data facilitated by domain ontologies

Amandeep S. Sidhu; Paul J. Kennedy; Simeon Simoff; Tharam S. Dillon; Elizabeth Chang

doi:10.4018/978-1-60566-050-9.ch160

Knowledge discovery in biomedical data facilitated by domain ontologies

Amandeep S. Sidhu, Paul J. Kennedy, Simeon Simoff, Tharam S. Dillon, Elizabeth Chang

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

Abstract

In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the data mining cycle: (1) generating the ontologies; and (2) adapting the data mining algorithms to make use of the ontologies. This chapter presents the state-of-the-art in bringing the background ontology knowledge into the pattern recognition task for biomedical data.

Original language	English
Title of host publication	Medical Informatics
Subtitle of host publication	Concepts, Methodologies, Tools, and Applications
Publisher	IGI Global
Pages	2096-2108
Number of pages	13
Volume	4-4
ISBN (Electronic)	9781605660516
ISBN (Print)	1605660507, 9781605660509
DOIs	https://doi.org/10.4018/978-1-60566-050-9.ch160
Publication status	Published - 30 Sept 2008

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© 2009 by IGI Global. All rights reserved.

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ER -

Knowledge discovery in biomedical data facilitated by domain ontologies

Abstract

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