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Applying data mining to forest maturity forecasting

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2 Author(s)
JinMing Li ; Coll. of Comput. & Inf., Fujian Agri. & Fore. Univ., Fujian, China ; RongQi Liu

This research applies data mining technologies to Yong¿An 2006 survey data. Through the basic factor and the age of the forest to train data mining model, we can make accurate and effective forecast of the age of the forest. We just need to input a group of data to the model, and then we can know the age. Not only the difficulties in measuring the age of forest are solved, but also further understanding of whether this forest is mature can be gained. So that this research provides the basis for forest management.

Published in:

Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on  (Volume:1 )

Date of Conference:

17-19 Nov. 2008