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Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis

References Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In Proceedings of the 20th International Conference on Very Large Data Bases , VLDB ’94 , 487-499, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc. Ashlock, D. A., Kim, E.Y., & Guo, L. (2005). Multi-clustering: avoiding the natural shape of underlying metrics. In C. H. Dagli et al. (Eds.), Smart Engineering System Design: Vol.15. Neural Networks, Evolutionary Programming, and Artificial Life, (pp. 453-461), ASME Press

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Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods

References Ahmad, A., & Dey, L. (2005). A feature selection technique for classificatory analysis. Pattern Recognition Letters, 26(1), 43-56. doi: 10.1016/j.patrec.2004.08.015 Alcalá-Fdez, J., Sánchez, L., García, S., Jesus, M. J., Ventura, S., Garrell, J. M., . . . Herrera, F. (2008). KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing, 13(3), 307-318. doi: 10.1007/s00500-008-0323-y Aslan, B. G., & Inceoglu, M. M. (2007). A comparative study on neural network based

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