According to RUP, the purpose of this step is to identify a candidate set of analysis classes which will be capable of performing the behavior described in our use cases.
根据RUP过程，这一步的目的是找出分析类的候选范围，这些类合作起来，可以完成用例的所有行为。
It scans the database for only two times, and avoids candidate set generation. GRG shows good performance both in speed and scale up properties.
GRG算法只扫描数据库两次，不产生候选集，并在速度和伸缩性上有良好性能。
Verifying the candidate set under spatiotemporal topology to find the rules which have to satisfy the spatiotemporal support and spatiotemporal confidence.
对于候选数据集进行时空拓扑验证，得到时空关联规则集。
Matching objects in the item set based on downward closure lemma and spatiotemporal topology: we match the objects in order to create the spatiotemporal association candidate set;
基于向下闭合引理，对时空频繁状态表中的对象进行时空拓扑匹配，得到时空关联规则候选集；
A candidate set is set up with hypothesis according to experts experience, and the behaviors for each candidate fault are described by the temporally distributed symptoms relevant to the state.
根据专家经验由假设建立一个候选集，每个候选故障的行为都是由与状态相关的瞬态分布征兆序列描述的。
The core algorithms in the Candidate Set Creating function module are Code Pretreatment algorithm and Candidate Set Creating algorithm.
候选字词集生成模块的核心算法主要包括编码预处理算法和候选字词集生成算法。
The core algorithms in the Candidate Set Creating function module are Code Pretreatment algorithm and Candidate Set Creating algorithm.
候选字词集生成模块的核心算法主要包括编码预处理算法和候选字词集生成算法。
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