The Winning Solution to the AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene

Autor:	Marek Gagolewski, Jan Lasek
Rok vydání:	2015
Předmět:	business.industry Computer science Feature extraction Machine learning computer.software_genre Random forest Data modeling Competition (economics) Data set Key (cryptography) Data mining Artificial intelligence Time series business computer
Zdroj:	FedCSIS
ISSN:	2300-5963
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2e524a814d1b4a96fcdcd20652616234 https://doi.org/10.15439/2015f418 Zobrazit plný text záznamu