高效的并行性的时间系列数据 A 晶格教学法在基于晶格理论的 pdf format.parallel 算法中的时序规则挖掘提出的方法找到模式之间的规则这在多股流时间保持顺序存取特性系列数据。通过运动捕获的人体运动数据捕获系统视为多股流多维数据可作为实时数据集。的数据集转化为符号的序列由于其复杂性较低的维度。关系在符号中表示为"规则"。建议在分布共享上实现算法多处理机系统内存 （DSM）。的实验结果证明效率，寻求规则从序列的时序数据的模式实现相比明显加快以往报道的算法。
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Efficient Parallelism for Mining Sequential Rules in Time.pdf
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