Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3909
Title: Predicting Wildfires Propositional and Relational Spatio-Temporal Pre-processing Approaches
Authors: Mariana Rafaela Oliveira
Luís Torgo
Vítor Santos Costa
Issue Date: 2016
Abstract: We present and evaluate two different methods for building spatio-temporal features: a propositional method and a method based on propositionalisation of relational clauses. Our motivating application, a regression problem, requires the prediction of the fraction of each Portuguese parish burnt yearly by wildfires - a problem with a strong socio-economic and environmental impact in the country. We evaluate and compare how these methods perform individually and combined together. We successfully use under-sampling to deal with the high skew in the data set. We find that combining the approaches significantly improves the similar results obtained by each method individually.
URI: http://repositorio.inesctec.pt/handle/123456789/3909
http://dx.doi.org/10.1007/978-3-319-46307-0_12
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CRACS - Articles in International Conferences
LIAAD - Articles in International Conferences

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