Data Mining Based Analysis Method for Chinese Elders´ Survival Self-Evaluation in Universal Design

Author

Fangyan Zhang ; Hao Liang

Author_Institution

Sch. of Fine Arts, Tianjin Univ. of Technol., Tianjin, China

Volume

1

fYear

2014

fDate

26-27 Aug. 2014

Firstpage

202

Lastpage

205

Abstract

China is entering the aging stage and the old people number is huge. Universal design is the trend of product design to meet the particular requirements for the industrial design. In this paper, an analysis method based on data mining is proposed to evaluate Chinese elderly living and survival situation, which can provide valuable and prerequisite information for universal design. With clustering technique in data mining, elderly people´s living situation was classified and suggestion to improve it is discussed and provided. Results show that, the proposed method is effective for analysis of Chinese elderly people´s survival situation.

Keywords

assisted living; data mining; geriatrics; medical information systems; product design; Chinese elders survival self-evaluation; aging society; clustering technique; data mining; elderly people living situation; industrial design; product design; universal design; Aging; Data mining; Databases; Educational institutions; Object oriented modeling; Product design; Senior citizens; Clustering; Data Mining; Self-evaluatio; Universal Design;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4956-4

Type

conf

DOI

10.1109/IHMSC.2014.57

Filename

6917340