Discovering patterns of play in netball with network motifs and association rules
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References
- Agrawal, R., & Srikant, R. (1994).
Fast algorithms for mining association rules. Paper presented at the Proc. 20th int. conf. very large data bases, VLDB. - Beckkers, J., & Dabadghao, S. (2017).
Flow Motifs in Soccer: What can passing behaviour tell us? Paper presented at the In Proceedings of the 11th MIT sloan sports analytics conference, Boston, Massachusetts. - Bruce, L., Brooks, E. R., & Woods, C. T. (2018). Team and seasonal performance indicator evolution in the ANZ Championship netball league.
Journal of sports sciences, 36:24 , 2771-7777. doi:10.1080/02640414.2018.147309910.1080/02640414.2018.1473099 - Bruce, L., Farrow, D., Raynor, A., & May, E. (2009). Notation analysis of skill expertise differences in netball.
International Journal of Performance Analysis in Sport, 9 (2), 245-254. - Clemente, F. M., Martins, F. M. L., Couceiro, M. S., Mendes, R. S., & Figueiredo, A. J. (2014). A network approach to characterize the teammates’ interactions on football: A single match analysis.
Cuadernos de Psicología del Deporte, 14 (3), 141-148. - Croft, H., Willcox, B., & Lamb, P. (2017). Using performance data to identify styles of play in netball: an alternative to performance indicators.
International Journal of Performance Analysis in Sport, 17 (6), 1034-1043. - Davidson, A., & Trewartha, G. (2008). Understanding the physiological demands of netball: A time-motion investigation.
International Journal of Performance Analysis in Sport, 8 (3), 1-17. - Dudek, D. (2010).
Measures for Comparing Association Rule Sets. Paper presented at the International Conference on Artificial Intelligence and Soft Computing, Berlin, Heidelberg. - Fewell, J. H., Armbruster, D., Ingraham, J., Petersen, A., & Waters, J. S. (2012). Basketball teams as strategic networks.
PloS one, 7 (11), e47445. - Fonseca, S., Milho, J., Travassos, B., & Araújo, D. (2012). Spatial dynamics of team sports exposed by Voronoi diagrams.
Human Movement Science, 31 (6), 1652-1659. - Gentleman, R., & Carey, V. (2008). Unsupervised machine learning
Bioconductor Case Studies (pp. 137-157): Springer. - Gudmundsson, J., & Wolle, T. (2014). Football analysis using spatio-temporal tools.
Computers, Environment and Urban Systems, 47 , 16-27. - Gyarmati, L., & Anguera, X. (2015). Automatic Extraction of the Passing Strategies of Soccer Teams.
arXiv preprint arXiv:1508.02171 . - Gyarmati, L., Kwak, H., & Rodriguez, P. (2014).
Searching for a unique style in soccer. Paper presented at the 2014 KDD Workshop on Large-Scale Sports Analytics, New York City. - Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis.
Journal of sports sciences, 20 (10), 739-754. - International Federation of Netball. (2018).
Rules of Netball . Retrieved fromhttp://netball.org/wp-content/uploads/2017/12/INF-Rules-of-Netball-2018-Edition-text.pdf - López Peña, J., & Sánchez Navarro, R. (2015). Who can replace Xavi? A passing motif analysis of football players.
arXiv preprint arXiv:1506.07768 . - Lusher, D., Robins, G., & Kremer, P. (2010). The Application of Social Network Analysis to Team Sports.
Measurement in Physical Education and Exercise Science, 14 (4), 211-224. doi:10.1080/1091367x.2010.49555910.1080/1091367x.2010.495559 - Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002). Network motifs: simple building blocks of complex networks.
Science, 298 (5594), 824-827. doi:10.1126/science.298.5594.82410.1126/.298.5594.824 - Morgan, S. (2011).
Detecting Spatial Trends in Hockey Using Frequent Item Sets. Paper presented at the Proceedings of the 8th International Symposium on Computer Science in Sport. - Passos, P., Davids, K., Araújo, D., Paz, N., Minguéns, J., & Mendes, J. (2011). Networks as a novel tool for studying team ball sports as complex social systems.
Journal of Science and Medicine in Sport, 14 (2), 170-176. - Rocha, L. E., & Blondel, V. D. (2013). Flow motifs reveal limitations of the static framework to represent human interactions.
Physical Review E, 87 (4). - Spencer, B., Morgan, S., Zeleznikow, J., & Robertson, S. (2016).
Clustering team profiles in the Australian Football League using performance indicators. Paper presented at the Proceedings of the 13th Australasian Conference on Mathematics and Computers in Sport, Melbourne, 11-13 July, 2016. - Steele, J. R., & Chad, K. E. (1991). An analysis of the movement patterns of netball players during match play: implications for designing training programs.
Journal of human movement studies, 20 , 249-278. - Stöckl, M., & Morgan, S. (2013). Visualization and analysis of spatial characteristics of attacks in field hockey.
International Journal of Performance Analysis in Sport, 13 (1), 160-178. - Sweeting, A. (2017).
Discovering the movement sequences of elite and junior elite netball athletes. (Doctorate of Philosophy), Victoria University. - Sweeting, A., Morgan, S., Cormack, S., & Aughey, R. (2014).
A movement sequencing analysis of team-sport athlete match activity profile. Paper presented at the Proceedings of the 10th Australasian Conference on Mathematics and Computers in Sport, Darwin, Australia.
DOI: https://doi.org/10.2478/ijcss-2019-0004 | Journal eISSN: 1684-4769
Language: English
Page range: 64 - 79
Published on: Aug 21, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
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© 2019 P. Browne, S. Morgan, J. Bahnisch, S. Robertson, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.