Forest Fires Data Set
Dataset Overview
| Data Type | Multivariate | Default Task | Regression |
|---|---|---|---|
| Attribute Type | Real | Published Year | 2008 |
| Area of Dataset | Physical | Missing Values | No |
| No. of Instances | 517 | No. of Attribute | 13 |
Dataset Description:
Forest fires are a major environmental issue, creating economical and ecological damage while endangering human lives. Fast detection is a key element for controlling such phenomenon. To achieve this, one alternative is to use automatic tools based on local sensors, such as provided by meteorological stations. In effect, meteorological conditions (e.g. temperature, wind) are known to influence forest fires and several fire indexes, such as the forest Fire Weather Index (FWI), use such data. In this work, we explore a Data Mining (DM) approach to predict the burned area of forest fires.
Created by: Paulo Cortez and Aníbal Morais (Univ. Minho) @ 2007
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