Applying Data Mining Techniques to Identify Suitable Activities

Yu-Fang Yeh and Ching-Pao Chang

Mathematical Problems in Engineering, 2015, vol. 2015, 1-11

Abstract:

Identifying suitable physical activities is crucial for personal health management. However, a big challenge in identifying suitable physical activities is the influencing factors are extremely complex. Therefore, this study aims to propose an approach to facilitate the construction of suitable physical activity models. In the approach, association rule mining and clustering technique are applied to analyze personal activity-physiological information. To demonstrate how the proposed approach can be used for constructing the activity models, an experiment using mobile devices to collect personal activity-physiological information was designed. The revealed models can be used to not only understand personal health conditions but also provide useful information about proper and improper physical activities.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2015/618061.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2015/618061.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:618061

DOI: 10.1155/2015/618061

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().