Applying Data Mining Techniques to Identify Suitable Activities
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yeh, Yu-Fang& Chang, Ching-Pao. 2015. Applying Data Mining Techniques to Identify Suitable Activities. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074298
Modern Language Association (MLA)
Yeh, Yu-Fang& Chang, Ching-Pao. Applying Data Mining Techniques to Identify Suitable Activities. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074298
American Medical Association (AMA)
Yeh, Yu-Fang& Chang, Ching-Pao. Applying Data Mining Techniques to Identify Suitable Activities. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074298