2024年4月3日发(作者：)
Forest Fires Data Set(森林大火数据集)
数据摘要：
This dataset is public available for research. The details are described
in [Cortez and Morais, 2007]: [pdf]. Please include this citation if you
plan to use this database:
P. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires
using Meteorological Data. In J. Neves, M. F. Santos and J. Machado
Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA
2007 - Portuguese Conference on Artificial Intelligence, December,
Guimaraes, Portugal, pp. 512-523, 2007. APPIA, ISBN-13
978-989-95618-0-9.
The data can be used to test regression (difficult task), feature selection or
outlier detection methods.
中文关键词：
多变量,回归,特征选择,异常检测,UCI,
英文关键词：
MultiVarite,Regression,feature selection,outlier detection,UCI,
数据格式：
TEXT
数据用途：
The data can be used to test regression (difficult task), feature
selection or outlier detection methods
数据详细介绍：
Forest Fires Data Set
Abstract: This is a difficult regression task, where the aim is to predict the
burned area of forest fires, in the northeast region of Portugal, by using
meteorological and other data.
Data Set
Characteristics:
Attribute
Characteristics:
Multivariate
Number of
Instances:
Number of
Attributes:
Missing
Values?
517 Area: Physical
Real 13
Date
Donated
Number of
Web Hits:
2008-02-29
Associated Tasks: Regression N/A 54470
Source:
Paulo Cortez, pcortez '@' , Department of Information Systems,
University of Minho, Portugal.
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