Residential College | false |
Status | 已發表Published |
Data Mining in Sporting Activities Created by Sports Trackers | |
Iztok Fister Jr1; Iztok Fister1; Dušan Fister1; Simon Fong2 | |
2014-01-27 | |
Conference Name | 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013 |
Source Publication | Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013 |
Pages | 88-91 |
Conference Date | 24-26 Aug. 2013 |
Conference Place | New Delhi, India |
Author of Source | IEEE Computer Society |
Publisher | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Abstract | Pervasive technologies allow people to get information from everywhere and at anytime. The rapid development of smart mobile devices on the one hand and the progress of wireless networks on the other, has led to the widespread growth of pervasive technologies. Pervasive devices are small pieces of hardware that allow users to communicate over the Internet. Due to their capabilities, which enable users to develop the software they need, many applications for mobile devices have emerged. In this article, we will present data mining in sporting activities using mobile sport trackers. Each tracked sporting activity is saved into a file. Data mining could be applied to the collection of these files, which would help sportsmen analyze their workouts, predict their further training activities, advise about nutrition, etc. |
Keyword | Sports Activity Gps Data Mining |
DOI | 10.1109/ISCBI.2013.25 |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS ID | WOS:000350145100018 |
Scopus ID | 2-s2.0-84894464075 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Iztok Fister Jr |
Affiliation | 1.University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, Maribor, Slovenia; 2.University of Macau, Faculty of Science and Technology, Av. Padre Tomas Pereira, Taipa, China |
Recommended Citation GB/T 7714 | Iztok Fister Jr,Iztok Fister,Dušan Fister,et al. Data Mining in Sporting Activities Created by Sports Trackers[C]. IEEE Computer Society:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2014, 88-91. |
APA | Iztok Fister Jr., Iztok Fister., Dušan Fister., & Simon Fong (2014). Data Mining in Sporting Activities Created by Sports Trackers. Proceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013, 88-91. |
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