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
  • [1] Energetic and Cognitive Demands of Treading Water: Effects of Technique and Expertise
    van Duijn, Tina
    Button, Chris
    Cotter, James D.
    Masters, Rich S. W.
    JOURNAL OF SPORTS SCIENCE AND MEDICINE, 2023, 22 (04) : 726 - 738
  • [2] Analysing chromatographic data using data mining to monitor petroleum content in water
    Holmes, Geoffrey
    Fletcher, Dale
    Reutemann, Peter
    Frank, Eibe
    INFORMATION TECHNOLOGIES IN ENVIRONMENTAL ENGINEERING, 2009, : 278 - 290
  • [3] Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton
    Dieu, Olivier
    Schnitzler, Christophe
    Llena, Clement
    Potdevin, Francois
    JOURNAL OF SPORTS SCIENCES, 2020, 38 (17) : 1943 - 1952
  • [4] 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
  • [5] Prediction of Water Inrush Through Coal Floors Based on Data Mining Classification Technique
    Liu, Zaibin
    Jin, Dewu
    Liu, Qisheng
    2011 XI'AN INTERNATIONAL CONFERENCE ON FINE EXPLORATION AND CONTROL OF WATER & GAS IN COAL MINES, 2011, 3 : 166 - 174
  • [6] A Researcher Expertise Search System using Ontology-Based Data Mining
    Punnarut, Ravikarn
    Sriharee, Gridaphat
    CONCEPTUAL MODELLING 2010, 2010, : 71 - 78
  • [7] Using data mining in analysing local tourism patterns
    Tichler, G
    Grossmann, W
    Werthner, H
    INFORMATION AND COMMUNICATION TECHNOLOGIES IN TOURISM 1999, 1999, : 1 - 10
  • [8] Analysing Customer Profiles using Data Mining Techniques
    Filipova, Biljana Teohareva
    Martinovska, Cveta
    PROCEEDINGS OF THE ITI 2012 34TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES (ITI), 2012, : 73 - 78
  • [9] Path prediction through data mining
    Anagnostopoulos, Theodoros
    Anagnostopoulos, Christos B.
    Hadjiefthymiades, Stathes
    Kalousis, Alexandros
    Kyriakakos, Miltos
    2007 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE SERVICES, 2007, : 128 - +
  • [10] Example-based learning: Effects of model expertise in relation to student expertise
    Boekhout, Paul
    van Gog, Tamara
    van de Wiel, Margie W. J.
    Gerards-Last, Dorien
    Geraets, Jacques
    BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY, 2010, 80 (04) : 557 - 566