Mining association rules require two pieces of data, the transaction and what was bought in that transaction.

挖掘关联规则需要两方面的数据，事务及该事务中所包含的信息。

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Discovering cyclic generalized association rules from transaction databases can reveal the relationship of different levels of the taxonomies and display cyclic variations over time.

在事务数据库中的周期性一般关联规则可以揭示类的不同层次之间的关系和呈现周期性变化。

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This paper is focused on the methods of the construction of spatial transaction database, which is a crucial ste Pin the spatial association rules mining.

将空间数据库转换成空间事务数据库是空间关联规则挖掘过程的关键步骤。

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