subtree怎么读

Especially frequent subtree mining is widely used in domains such as bioinformatics, web-mining, chemical data structure mining, and so on. It has attracted tremendous interest among researchers.

频繁子树挖掘在生物信息学，Web挖掘，化合物结构分析等领域具有十分重要的应用价值，因此受到研究人员的高度重视。

The same argument applies for LDAP connections that require binding with a specific credential to an LDAP subtree.

LDAP连接需要将LDAP子树与特定证书绑定，因而也有同样的问题。

Frequent substructure explore the intrinsic characteristics of the data and are relatively stable to database updates. Discriminative, frequent subtree_based indexing can improve dramatically the performance of subtree search.

频繁子结构能揭示数据的内在特性，对于数据库修改也很稳定，用有判别力的频繁子树为树数据库构造索引，能显著地提高子树查询的性能。