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Mining Personal Data Using Smartphones and Wearable Devices: A Survey

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 ub...

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Detalles Bibliográficos
Autores principales: Rehman, Muhammad Habib ur, Liew, Chee Sun, Wah, Teh Ying, Shuja, Junaid, Daghighi, Babak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367420/
https://www.ncbi.nlm.nih.gov/pubmed/25688592
http://dx.doi.org/10.3390/s150204430
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author Rehman, Muhammad Habib ur
Liew, Chee Sun
Wah, Teh Ying
Shuja, Junaid
Daghighi, Babak
author_facet Rehman, Muhammad Habib ur
Liew, Chee Sun
Wah, Teh Ying
Shuja, Junaid
Daghighi, Babak
author_sort Rehman, Muhammad Habib ur
collection PubMed
description 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.
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spelling pubmed-43674202015-04-30 Mining Personal Data Using Smartphones and Wearable Devices: A Survey Rehman, Muhammad Habib ur Liew, Chee Sun Wah, Teh Ying Shuja, Junaid Daghighi, Babak Sensors (Basel) Article 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. MDPI 2015-02-13 /pmc/articles/PMC4367420/ /pubmed/25688592 http://dx.doi.org/10.3390/s150204430 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rehman, Muhammad Habib ur
Liew, Chee Sun
Wah, Teh Ying
Shuja, Junaid
Daghighi, Babak
Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title_full Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title_fullStr Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title_full_unstemmed Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title_short Mining Personal Data Using Smartphones and Wearable Devices: A Survey
title_sort mining personal data using smartphones and wearable devices: a survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367420/
https://www.ncbi.nlm.nih.gov/pubmed/25688592
http://dx.doi.org/10.3390/s150204430
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