Typical data mining approaches look for patterns in a single relation of a database.
传统的数据挖掘算法是在数据库的一张单一的表中查找模式。
From single relation to multiple relations, it becomes a great step for data mining approaches.
从挖掘单一关系到挖掘多关系，数据挖掘技术实现了研讨方式的巨大飞跃。
The classical data mining approaches can only look for patterns in single relation, and it is difficult to look for complex relational patterns which involved in multi-relational databases.
传统的数据挖掘方法只能从单一关系中进行模式发现，而很难在复杂的结构化数据中发现复杂的关系模式。
We explore the application of data mining in the compatibility of formula. We also give an example and some approaches of research.
探讨数据挖掘在方剂配伍规律研究中的应用，并给出例子和一些研究思路。
We explore the application of data mining in the compatibility of formula. We also give an example and some approaches of research.
探讨数据挖掘在方剂配伍规律研究中的应用，并给出例子和一些研究思路。
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