Abstract
This paper proposes several models for predicting global daily injury risk in ski resorts. There are three types of models proposed: based on data mining, expert modelling, and a combination of both. We show that the expert model that represents the judgment of injury risk experts in the analyzed ski resort is 10–15 % less accurate than data mining models. We also show that expert models refined with data-driven analysis can produce models that are in line with accuracy as data mining models, but in addition show some advantages, like transparency, consistency and completeness.
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Bohanec, M., Delibašić, B. (2015). Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts. In: Delibašić, B., et al. Decision Support Systems V – Big Data Analytics for Decision Making. ICDSST 2015. Lecture Notes in Business Information Processing, vol 216. Springer, Cham. https://doi.org/10.1007/978-3-319-18533-0_5
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DOI: https://doi.org/10.1007/978-3-319-18533-0_5
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