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Data Mining in Sporting Activities Created by Sports Trackers
Fister Jr., Iztok1; Iztok Fister1; Fister, Duan1; Fong, Simon2
2013
Conference Name2013 International Symposium on Computational and Business Intelligence, ISCBI 2013
Source PublicationProceedings - 2013 International Symposium on Computational and Business Intelligence, ISCBI 2013
Pages88-91
Conference Date24-26 Aug. 2013
Conference PlaceNew Delhi, India
Author of SourceIEEE Computer Society
PublisherIEEE, 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. 

KeywordSports Activity Gps Data Mining
DOIhttps://doi.org/10.1109/ISCBI.2013.25
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000350145100018
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Citation statistics
Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.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
Fister Jr., Iztok,Iztok Fister,Fister, Duan,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,2013:88-91.
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