关联性规则学习(Association rule learning)搜寻数据对象之间的关系，以做出预言、定位产品，等等。
Association rule learning searches for relationships between data objects to make predictions, position products, and so on.
如果不遵守这些定位规则，可能会导致代码生成意外的运行时异常或损坏的数据。
Failing to observe these positioning rules may cause code to generate unexpected runtime exceptions or corrupt data.
然后简要介绍了最终成型的元数据方案，包括对方案性质的定位、方案的组成、方案的属性元素集、置标方案及著录规则等内容；
Secondly, we explain the whole metadata profile, including the functions, documents, elements in the metadata profile, metadata encoding schema and the rules for cataloging.
然后简要介绍了最终成型的元数据方案，包括对方案性质的定位、方案的组成、方案的属性元素集、置标方案及著录规则等内容；
Secondly, we explain the whole metadata profile, including the functions, documents, elements in the metadata profile, metadata encoding schema and the rules for cataloging.
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