接下来本文讨论如何确定借阅记录中与借阅图书类型相关的读者属性并应用MAR_LCR算法对借阅记录进行关联规则的挖掘。

A discussion is made on how to identify relevant reader attributes in regard of the books they checked out and MAR_LCR algorithm is applied to the circulation records to mine the association rules.

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直观地命名每个元素和属性，以让那些仅熟悉XML规范的一般读者可以直观地解析其中的信息。

Each element and attribute is intuitively named so that even the casual reader familiar with the XML specification can visually parse the information.

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在业务类图中，属性类型通常与单位相符，这对于图的可能读者是有意义的(例如，分钟，美元，等等)。

In business class diagrams, the attribute types usually correspond to units that make sense to the likely readers of the diagram (i.e., minutes, dollars, etc.).

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