Application of Data Mining to Build Tree Height Models
Dong Wang · Anhui nongye kexue · 2010
To use rough set theory and obtain the minimum simple set of condition attributes that corresponding to the decision-making attributes(height).The correspondence between the decision and conditions attributes was extracted using Apriori algorithm to establish the tree height model.The result of the former model has optimum effectiveness and feasibility comparing with that of traditional statistical methods tree height models.