A Cloud-Based Intelligent Computing System for Contextual Exploration on Personal Sleep-Tracking Data Using Association Rule Mining

Author:

Liang Zilu,Ploderer Bernd,Martell Mario Alberto Chapa,Nishimura Takuichi

Publisher

Springer International Publishing

Reference38 articles.

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2. Mindell, J.A., Meltzer, L.J., Carskadon, M.A., Chervin, R.D.: Developmental aspects of sleep hygiene: findings from the 2004 national sleep foundation sleep in America poll. Sleep Med. 10(7), 771–779 (2009)

3. Poelstra, P.A.: Relationship between physical, psychological, social, and environmental variables and subjective sleep quality. Sleep 7(3), 255–260 (1984)

4. Liang, Z., Liu, W., Bernd, P., et al.: Making sense of personal sleep-tracking data through automated correlation analysis and visualization of sleep data and contextual information. In: Proceedings of the International Workshop on Healthy Aging Technology Mashup Service, Data and People, Shinagawa, Japan (2015)

5. Molenaar, P.C.M.: A manifesto on psychology as idiographic science bringing the person back into scientific psychology, this time forever. Measur.: Interdisc. Res. Perspect. 2, 201–218 (2004)

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