Abstract
This paper introduces the chosen area and problems which are connected to the forecasting of the results of American football games in National Football League (NFL). We cover the existing mobile applications for forecasting results which are analysed as a non-complex solutions with only limited prediction success ratio. We found that is possible to cover many other information sources to make a more complex analysis of each game and have a prediction based on a deep knowledge from match history. The suggested solution consists of a separate mobile application whose draft and implementation is described in the paper. Our algorithms implemented in developed solution provide a much better prediction success ratio than other mobile application.
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Kakrda, P., Berger, O., Krejcar, O. (2015). NFL Results Predictor as a Smart Mobile Application. In: Abraham, A., Krömer, P., Snasel, V. (eds) Afro-European Conference for Industrial Advancement. Advances in Intelligent Systems and Computing, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13572-4_28
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DOI: https://doi.org/10.1007/978-3-319-13572-4_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13571-7
Online ISBN: 978-3-319-13572-4
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