For multi-relational data mining, how mining more efficiently and how improving the scalability of the algorithm, has been the focus of our study.
对于多关系的数据挖掘研究，如何高效地挖掘以及如何提高算法的可扩展性，一直是大家研究的重点。
Compared to the traditional data mining algorithms, the complexity of specific performance of the algorithm in the multi-relational data mining put forward higher requirements.
与传统的数据挖掘算法相比，多关系数据挖掘特有的复杂性对算法的性能提出了更高的要求。
The search space of Multi-relational data mining algorithm becomes larger and more complex.
多关系数据挖掘算法的搜索空间变得更大、更复杂。
This system can provide the queries of multi-dimensional data cube and also obtain the mining analysis though the mining algorithm for supporting decision-making.
系统可提供进销存多维数据立方体的查询，还可以通过挖掘算法进行挖掘分析以辅助决策。
That is why this paper chooses a multi-relational data mining algorithm as our research object.
因此本文以多关系数据挖掘算法作为研究对象。
That is why this paper chooses a multi-relational data mining algorithm as our research object.
因此本文以多关系数据挖掘算法作为研究对象。
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