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Mobile data mining for intelligent healthcare support
Centre for Distributed Systems and Software Engineering, Monash University.
Centre for Distributed Systems and Software Engineering, Monash University.
Centre for Distributed Systems and Software Engineering, Monash University.
2009 (English)In: 2009 42nd Hawaii International Conference on System Sciences: HICSS ; Waikoloa, Hawaii, 5 - 8 January 2009, IEEE Communications Society, 2009, 1-10 p.Conference paper, Published paper (Refereed)
Abstract [en]

The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of biosensors presents an unprecedented opportunity for mobile healthcare applications. In this paper we propose a novel approach for Situation-Aware Adaptive Processing (SAAP) of data streams for smart and real-time analysis of data. The implementation and evaluation of the framework for a health monitoring application is described.

Place, publisher, year, edition, pages
IEEE Communications Society, 2009. 1-10 p.
Series
Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 1530-1605
Identifiers
URN: urn:nbn:se:ltu:diva-35905DOI: 10.1109/HICSS.2009.824Local ID: aa2d1080-ddb6-11de-bae5-000ea68e967bISBN: 978-0-7695-3450-3 (electronic)OAI: oai:DiVA.org:ltu-35905DiVA: diva2:1009159
Conference
Hawaii International Conference on System Sciences : 05/01/2009 - 08/01/2009
Note
Uppr├Ąttat; 2009; 20091130 (arkady)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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