Data Mining is a technique which used in various kinds of fields in the industry and they are helpful for collecting information and make use of it in fields. In sports transfiguring data into actionable information coaches, trainers can use data mining methods to tactic drill sessions and to decreasing the effect of activity testing on athletes. This paper uses a model where it can use cluster of techniques like as K-means, Ex- pectation maximization and Hierarchical Clustering to examine physiological data tested during incremental test runs. Evaluating the progress of session that have tested, we assign tested athlete into different groups and monitor the result thereby improving the performance of the athlete.
CITATION STYLE
Prabu, M., Sudhaghar, J., Viswajith, R., Venkata Narsimha, I., & Srikaanth, A. K. (2019). Efficient data mining methodology for sports. International Journal of Innovative Technology and Exploring Engineering, 8(6), 81–84.
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