In the production environment, the incremental algorithm can update the response model partially to solve the problem caused by business data increase.
因此,该增量式算法可以解决实际生产环境中,因业务数据规模递增而需部分更新响应模型的问题。
参考来源 - 基于粗糙集的粒度排序算法·2,447,543篇论文数据，部分数据来源于NoteExpress
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
增量式算法的关键点是在分类正确率和相容度下对属性集进行优级排序，算法的特点是随着数据的增加逐次推导规则。
The key of the algorithm is that the attribute set is sequenced according to the classification correct ratio and the consistent degree.
论文还另外针对相关项目的研究，讨论了一种简化的增量式PID算法，并很好的应用在该相关项目中。
In the research of relative projects, the simplified incremental PID algorithm is discussed, and it is well applied to the relative projects.
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