<正>介绍了应用于森林资源二类调查的数据挖掘系统，以实例说明关联规则挖掘方法在林业中的具体应用。研究了数据挖掘技术中的关联规则理论在林木属性分析中的应用，应用Apriori算法分析了权属、起源、年龄、平均胸径、树高、郁闭度之间的关联，为相关的决策支持提供参考。证明了数据挖掘在森林资源调查数据分析中具有良好的应用前景。

The tree height, DBH, individual volume, crown, height of the lowest branch, branching angle and number of shoot of 16 bald cypress (Taxodium distichum (L.)Rich) provenances were determined. The results were as follows= (1) There existed a significant variation of 16 provenances in tree height, DBH, individual volume, crown, height of the lowest branch, but the variations of the branching angle and number of shoot were not significant. The 9th and 6th provenance had highest height, DBH and volume,while the tree height, DBH and volume among 16th provenances was lowest. (2) The correlative analysis showed that there were significant positive relativity among the tree height, DBH, individual volume, crown and height of the lowest branch, but there was not obvious relativity between these indexes and branching angle and number of shoot. (3) The analysis results of heritability showed that the heritability of DBH of bald cypress was highest, and the heritability of the branching angle and number of shoot was lowest. (4)The 9th, 6th, 12th, 13th and 4th superior provenances were selected from the 16 provenances by using synthetical selection of multiple characters, and these five provenances had higher production after being cultivated.