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dc.contributor.authorHadzic, Maja
dc.contributor.authorHadzic, Fedja
dc.contributor.authorDillon, Tharam S.
dc.identifier.citationHadzic, Maja and Hadzic, Fedja and Dillon, Tharam. 2008. Tree mining in mental health domain, in Sprague, R.H. (ed), Proceedings of the 41st Annual Hawaii International Conference on System Sciences, Jan 7-10, 2008, pp. 230-230. Big Island, Hawaii. IEEE Computer Society.

The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental illnesses still remains unsolved and is therefore a very active research focus today. Semi-structured data structure is predominantly used to enable the meaningful representations of the available mental health knowledge. Data mining techniques can be used to efficiently analyze these semi-structured mental health data. Tree mining algorithms can efficiently extract frequent substructures from semi-structured knowledge representation such as XML. In this paper we demonstrate effective application of the tree mining algorithms on records of mentally ill patients. The extracted data patterns can provide useful information to help in prevention of mental illness and assist in delivery of effective and efficient mental health services.

dc.publisherIEEE Xplore
dc.subjectdata mining
dc.subjectdistributed databases
dc.titleTree mining in mental health domain
dc.typeConference Paper
dcterms.source.issn1530 1605
dcterms.source.titleHawaii International Conference on System Sciences, Proceedings of the 41st Annual
dcterms.source.seriesHawaii International Conference on System Sciences, Proceedings of the 41st Annual
dcterms.source.conferenceHawaii International Conference on System Sciences, 41st Annual
dcterms.source.conference-start-date07-10 Jan 2008
dcterms.source.conferencelocationHawaii, USA

Copyright 2008 IEEE


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curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School

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