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|Title:||Predicting Wildfires Propositional and Relational Spatio-Temporal Pre-processing Approaches|
|Authors:||Mariana Rafaela Oliveira|
Vítor Santos Costa
|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.|
|Appears in Collections:||CRACS - Articles in International Conferences|
LIAAD - Articles in International Conferences
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