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Sensors 2015, 15(2), 4430-4469;

Mining Personal Data Using Smartphones and Wearable Devices: A Survey

Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
Author to whom correspondence should be addressed.
Received: 5 December 2014 / Accepted: 9 February 2015 / Published: 13 February 2015
(This article belongs to the Section Physical Sensors)
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The staggering growth in smartphone and wearable device use has led to a massive scale generation of personal (user-specific) data. To explore, analyze, and extract useful information and knowledge from the deluge of personal data, one has to leverage these devices as the data-mining platforms in ubiquitous, pervasive, and big data environments. This study presents the personal ecosystem where all computational resources, communication facilities, storage and knowledge management systems are available in user proximity. An extensive review on recent literature has been conducted and a detailed taxonomy is presented. The performance evaluation metrics and their empirical evidences are sorted out in this paper. Finally, we have highlighted some future research directions and potentially emerging application areas for personal data mining using smartphones and wearable devices. View Full-Text
Keywords: data mining; mobile computing; personal data; wearable computing data mining; mobile computing; personal data; wearable computing

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rehman, M.H.; Liew, C.S.; Wah, T.Y.; Shuja, J.; Daghighi, B. Mining Personal Data Using Smartphones and Wearable Devices: A Survey. Sensors 2015, 15, 4430-4469.

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