Applying Data Mining to Forest Maturity Forecasting
This research applies data mining1-5 technologiesto YongAn 2006 survey data.Through the basic factorand the age of the forest to train data mining model,we can make accurate and effective forecast of the ageof the forest.We just need to input a group of data tothe model,and then we can know the age.Not only thedifficulties in measuring the age of forest are solved,but also further understanding of whether this forest ismature can be gained So that this research providesthe basis for forest management.
JinMing Li RongQi Liu
JinMing Li,Associate Professor,Direction:Data Mining,Artificial Intelligence,College of Computer and RongQi Liu,College of Forestry Science,Graduate Forestry computer application,Fujian Agri.& Fore.Uni
国际会议
厦门
英文
351-353
2008-11-17(万方平台首次上网日期,不代表论文的发表时间)