Compared to traditional research on earthquake sequence in seismology, data mining is applied to earthquake prediction, and sequential pattern is used to earthquake sequences.
与地震学中地震序列研究相比，将数据挖掘的应用拓展到地震预报中，通过序贯模式来研究广义地震序列。
It was analyzed that seismicity background, earthquake sequence, seismicity pattern of moderate-small earthquake around epicenter and seismology parameter of Beihuanghai M_L5.1 earthquake in 2003.
对2003年北黄海5.1级地震的地震活动背景、地震序列、震中周围中小地震活动图像及地震学参数等进行了详细分析。
We use mainly the squariance method among sequence samples cluster analysis and the method of optimum partition, and combine the standard of release level of seismology strain energy to divide it.
主要使用了有序样品聚类分析中的离差平方和法、最优分割法，再结合地震学应变能释放水平进行划分。
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