Data Mining In Conceptualising Active Ageing

Nayak, Richi, Buys, Laurie, & Lovie-Kitchin, Jan E. (2006) Data Mining In Conceptualising Active Ageing. In 5th Australasian Data Mining Conference (AusDM2006), December 2006, Sydney, Australia.

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.

Impact and interest:

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ID Code: 14011
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 Australian Computer Society
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 09 Jul 2008 00:00
Last Modified: 29 Feb 2012 13:21

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