Agricultural and Biosystems Engineering Publications
Campus Units
Agricultural and Biosystems Engineering, Computer Science
Document Type
Article
Publication Version
Published Version
Publication Date
11-2015
Journal or Book Title
Egyptian Informatics Journal
Volume
16
Issue
3
First Page
243
Last Page
251
DOI
10.1016/j.eij.2015.06.003
Abstract
The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of the exercise patterns. The regularity can further be enhanced, if the exercising instruments are kept in the vicinity of the bed and are within easy reach.
Access
Open
Rights
This work is licensed under a Creative Commons CC-BY-NC-ND 4.0 license.
Copyright Date
2015
Language
en
File Format
application/pdf
Recommended Citation
Sharma, Sugam; Tim, Udoyara Sunday; Payton, Marinelle; Cohly, Hari; Gadia, Shashi; Wong, Johnny; and Karakala, Sudharshanam, "Contextual motivation in physical activity by means of association rule mining" (2015). Agricultural and Biosystems Engineering Publications. 728.
https://lib.dr.iastate.edu/abe_eng_pubs/728
Included in
Agriculture Commons, Bioresource and Agricultural Engineering Commons, Numerical Analysis and Scientific Computing Commons, Statistics and Probability Commons
Comments
This article is from Egyptian Informatics Journal 16 (2015): 243–251, doi:10.1016/j.eij.2015.06.003. Posted with permission.