Data mining in conceptualising active ageing

Authors:
Richi Nayak;Laurie Buys;Jan Lovie-Kitchin
Affiliations:
Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia
Venue:
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Year:
2006

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Abstract

The concept of older adults contributing to society in a meaningful way has been termed 'active ageing'. We present applications of data mining techniques on the active ageing data collected via a survey of older australian on a wide range of social and behavioural variables. The goal is to understand the underlying relationships and attributes which characterise active ageing. The data mining results indicate that an individual's health, attitude to learning, social network support and (positive) emotional feelings are significant contributors to achieving active ageing'.