Analysing expertise through data mining: an example based on treading water

被引:6
|
作者
Schnitzler, Christophe [1 ]
Button, Chris [2 ]
Seifert, Ludovic [3 ]
Croft, James [2 ]
机构
[1] Univ Strasbourg, EA 2310, ESPE, LISEC, F-67000 Strasbourg, France
[2] Univ Otago, Sch Phys Educ Sport & Exercise Sci, Dunedin, New Zealand
[3] Univ Rouen, Fac Sports Sci, CETAPS UPRES EA 3832, Mont St Aignan, France
关键词
constraint-led approach; typology; data mining; machine learning; COORDINATION; PERFORMANCE; SPORT;
D O I
10.1080/02640414.2013.876085
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
A classification system of treading water based on a conceptual typology was first established and then verified empirically. The typology was established on two concepts: the nature of the forces created within the water and the type of inter-limb coordination used. Thirty-eight participants were videotaped while treading water. Multivariate statistics were used to understand how the different behavioural types related to expertise. Three distinct groups of coordination patterns were adopted during treading water. A support vector machine procedure was used as a confirmatory procedure. The data mining process provides a methodological framework to analyse expertise in sports activities, and in this context suggests that a taxonomy can be established among the numerous coordination solutions that allow humans to create stabilising forces in the water.
引用
收藏
页码:1186 / 1195
页数:10
相关论文
共 50 条
  • [31] An effective combination based on class-wise expertise of diverse classifiers for predictive toxicology data mining
    Neagu, Daniel
    Guo, Gongde
    Wang, Shanshan
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2006, 4093 : 165 - 172
  • [32] Analysing the Behaviour of Robot Teams through Relational Sequential Pattern Mining
    Bombini, Grazia
    Ros, Raquel
    Ferilli, Stefano
    Lopez de Mantaras, Ramon
    FOUNDATIONS OF INTELLIGENT SYSTEMS, 2011, 6804 : 163 - 169
  • [33] Analysing Documents About Colombian Indigenous Peoples Through Text Mining
    Stivel Pineros-Enciso, Jonathan
    Galpin, Ixent
    APPLIED INFORMATICS (ICAI 2021), 2021, 1455 : 125 - 140
  • [34] Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining
    Garcia-Vico, A. M.
    Montes, J.
    Aguilera, J.
    Carmona, C. J.
    del Jesus, M. J.
    INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16, 2017, 527 : 334 - 344
  • [35] Passenger Hotspot Mining Based on Taxi GPS Data-Taking Chengdu as an Example
    Xie, Xuejiao
    Yu, Yifan
    Jiang, Yangsheng
    PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON TRANSPORTATION ENGINEERING (ICTE 2019), 2019, : 883 - 892
  • [36] Mining of Classification Patterns in Clinical Data through Data Mining Algorithms
    Jacob, Shomona Gracia
    Ramani, R. Geetha
    PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI'12), 2012, : 997 - 1003
  • [37] Examining the field of data mining: Necessary expertise levels and training requirements
    Pryor, A
    Pavur, R
    Yellen, R
    DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 985 - 987
  • [38] ANALYSING THE USERS' PERCEPTION OF WEB DESIGN QUALITY BY DATA MINING TOOLS
    Bevanda, Vanja
    Grzinic, Jasmina
    Cervar, Emanuel
    TOURISM AND HOSPITALITY MANAGEMENT-CROATIA, 2008, 14 (02): : 251 - 262
  • [39] Mining bus travel card data for analysing mobilities in tourist regions
    Domenech, Antoni
    Miravet, Daniel
    Gutierrez, Aaron
    JOURNAL OF MAPS, 2020, 16 (01): : 40 - 49
  • [40] Analysing behavioural and academic attributes of students using educational data mining
    Umer, Muhammad
    Sadiq, Saima
    Mehmood, Arif
    Ashraf, Imran
    Choi, Gyu Sang
    Din, Sadia
    INTERNATIONAL JOURNAL OF NANOTECHNOLOGY, 2023, 20 (5-10) : 451 - 476