Cluster-Centric Based Hybrid Approach for Cricket Sports Analytics Using Machine Learning

Author:

Patil Rudra,Duraphe Ankita,Motarwar Pranav,Suganya G.,Premalatha M.

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Kapadia, K., et al.: Sport analytics for cricket game results using machine learning: an experimental study. Appl. Comput. Inform. (2020)

2. Praffulla Kumar, D., Suri, H., Gupta, S.: Naïve Bayes algorithm based match winner prediction model for T20 cricket. In: Intelligent Computing and Applications, pp. 435–446. Springer, Singapore (2021)

3. Pathak, N., Wadhwa, H.: Applications of modern classification techniques to predict the outcome of ODI cricket. Procedia Comput. Sci. 87, 55–60 (2016)

4. Bhatia, V.: A review of machine learning based recommendation approaches for cricket. In: 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE (2020)

5. Mittal, H., et al.: A Study on Machine Learning Approaches for Player Performance and Match Results Prediction. arXiv preprint arXiv:2108.10125 (2021)

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