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Predictive models for hotspots occurrence using decision tree algorithms and logistic regression.

Predictive models for hotspots (active fires) occurrence are essential to develop as one of activities in forest fires prevention in order to minimize damages because of forest fires. This work applied the decision tree algorithms i.e., ID3 and C4.5, as well as logistic regression on spatial data of...

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Main Authors:	Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin
格式:	Article
语言:	English English
出版:	Asian Network for Scientific Information 2013
在线阅读:	http://psasir.upm.edu.my/id/eprint/29146/1/Predictive%20models%20for%20hotspots%20occurrence%20using%20decision%20tree%20algorithms%20and%20logistic%20regression.pdf http://psasir.upm.edu.my/id/eprint/29146/ http://scialert.net/archivedetails.php?issn=1812-5654&issueno=202
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