NDLI: Research on Evaluation Method of Forest Land Based on Decision Tree and Bootstrap Regression

Content Provider	IEEE Xplore Digital Library
Author	Zheng Fu Jiwen Wen Jianjue Lu Pengfei Shao
Copyright Year	2010
Abstract	The reasonable evaluation of forestry land is the basis of marketization of the forestry assets. Based on the evaluation data for 325 forestry lands from seven forest farms of Ning'an city, which is intended to transfer in the country, this paper takes Larch, mongolian scots pine and larch-mongolian mixed forests as instances to establish CHAID decision tree model in order to classify and analyze forestry assets and find main qualitative influencing factors. On this basis, Bootstrap regressive model is applied to predict and evaluate forestry assets according to quantitative influencing factors. The practicability of method has been verified by calculations. The purpose of this paper is to put forward a reasonable evaluation method of forestry land based on data mining, which would perfect the evaluation system of forestry land and provide supporting data for marketization of forestry assets.
Starting Page	1
Ending Page	4
File Size	358470
Page Count	4
File Format	PDF
ISBN	9781424471591
e-ISBN	9781424471614
DOI	10.1109/ICEEE.2010.5660962
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Biological system modeling Forestry Detectors Educational institutions Decision trees Data mining
Content Type	Text
Resource Type	Article

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