DS-Apriori sets the minimal support dynamically according to semantic relativity of the item set. In order to reduce the consumption when calculating the semantic relativity,DS-Apriori proposes an incremental computation method when calculating the semantic relativity.
该算法建立在语义本体的基础上,根据项集内部的语义相关度动态的确定该项集的最小支持度,并采用了项集语义相关度的增量计算方法。
参考来源 - 语义驱动的关联规则挖掘算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper proposes computational optimization method based on the incremental computation of the SSD and NCC algorithms for the stereo matching.
论文针对图像匹配计算中的SSD和NCC算法提出一种基于递推增量计算的改进算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
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