<正>C4?5算。法是基于信息熵理论进行数据分类分析的经典决策树数据挖掘算法。它主要包括数据预处理、决策树生成、决策村修剪、决策树规则提取等步骤。笔者将C4.5算法应用于森林资源二类调g-的数据分析中?通过对调查数据挖掘分析表明。数据挖掘在森林资源调查数据分析中具有广泛的应用前景。

Water absorbability of six super absorbent polymers was compared in NaC1, KC1, CaCl2 solution with concentration ascending from 0 to 0.5 mol/L The result concluded that following with the electrolyte concentration ascending, water absorbability had a decreasing trend. Water absorbability was measured and compared when the distilled water pH value changed from 2 to 12. It can be concluded that, when pH value between6 roB, super absorb ent-polymers can keep a more steady and better performance of absorbing water than pH value beyond the range of 4 to 10. Super absorbent-polymers can affect the soil water evaporation rate, the more super-absorbent-polymers are used, the lower evaporation rate is. In all these experiment, GN had a best performance among the group. Soil characters can affect super- absorbent polymers’ role of decreasing soil water evaporation rale in the experiment with GN. In loam soil, the role was more obviously.