Annals of Computer Science and Information Systems, Volume 11

DOI: http://dx.doi.org/10.15439/2017F567

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 143–148 (2017)

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Abstract. This paper describes two approaches to the AAIA'17 Data Mining Challenge. Both approaches are making extensive use of domain/background knowledge about the game to build better representation of classification problem by engineering new features. With newly constructed attributes both approaches resort to Artificial Neural Networks (ANN) to construct classification model. The resulting solutions are effective and meaningful.

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