The Winning Solution to the AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene
Jan Lasek, Marek Gagolewski
DOI: http://dx.doi.org/10.15439/2015F418
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 375–380 (2015)
Abstract. Multi-sensor based classification of professionals' activities plays a key role in ensuring the success of an his/her goals. In this paper we present the winning solution to the AAIA'15 Tagging Firefighter Activities at a Fire Scene data mining competition. The approach is based on a Random Forest classifier trained on an input data set with almost 5000 features describing the underlying time series of sensory data.