计算机工程与科学2018，Vol.40Issue(5)：924-930,7.DOI:10.3969/j.issn.1007-130X.2018.05.022
基于随机森林的老年人居住偏好预测研究
Elderly living preference prediction based on random forests
摘要
Abstract
With the speedy aging population,weakening family endowment and unsound social endowment services,old-age care faces many challenges in China.In order to provide suitable living arrangement suggestions to the elderly and accurate decision-supporting to the departments geared toward elderly care,we analyze nearly 20,000 old people's data in CHARLS questionnaire,trying to find main factors affecting the elderly living preference.Besides,we also attempt to predict living preferences for old people by using the characteristics data of the elderly and improve feature selection algorithm on imbalanced data based on random forests.Experimental results indicate that the elderly living preference can be predicted well by using the characteristics data of the elderly.Importantly,this method is potential to provide reference on accuracy decision-making for the departments geared toward elderly care.关键词
数据挖掘/居住偏好/随机森林/非平衡数据集/特征选择Key words
data mining/living preference/random forests/imbalanced dataset/feature selection分类
信息技术与安全科学引用本文复制引用
吴帅,赵方..基于随机森林的老年人居住偏好预测研究[J].计算机工程与科学,2018,40(5):924-930,7.基金项目
国家自然科学基金(11272061) （11272061）
北京市科技计划课题(Z151100002115002) （Z151100002115002）
