Classifying longevity profiles through longitudinal data mining
作者：
Highlights：
• We propose an application of longitudinal data mining.
• We propose a full knowledge discovery process on a longitudinal dataset.
• We described the data preparation process from Longitudinal Ageing Study dataset.
• We developed a semi-supervised strategy to identify short-lived and long-lived profiles.
• Results show influences from economic, social and health-related aspects on the classification.
摘要
•We propose an application of longitudinal data mining.•We propose a full knowledge discovery process on a longitudinal dataset.•We described the data preparation process from Longitudinal Ageing Study dataset.•We developed a semi-supervised strategy to identify short-lived and long-lived profiles.•Results show influences from economic, social and health-related aspects on the classification.
论文关键词：Machine learning,Longitudinal data,Cluster analysis,Ageing studies
论文评审过程：Received 7 February 2018, Revised 14 September 2018, Accepted 15 September 2018, Available online 19 September 2018, Version of Record 27 September 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.035
