Data Mining in Conceptualising Active Ageing

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. .

• Type: Conference
• Year: 2006
• Where: AUSDM
• Authors: Richi Nayak, Laurie Buys, Jan Lovie-Kitchin
• Keywords: Active Ageing, Active Ageing Data, AUSDM 2006, Data Mining