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Applying Data Mining Techniques to Identify Suitable Activities
2015
Mathematical Problems in Engineering
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
doi:10.1155/2015/618061
fatcat:4b7cpwomxfczvdzgqvktcittpq