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一种改进的序贯模式算法在地震学中的应用
An Improved Sequential Pattern Mining Algorithm and Its Application in Seismology
【摘要】 结合地震预报的领域知识,面向具体的应用,提出了一种改进的基于滑动时间窗口的序贯模式挖掘算法,用来发现广义的地震序列。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。实验测试结果表明:该算法能够发现一些有意义的广义的地震序列。
【Abstract】 An improved sequential pattern mining algorithm is proposed, which is based on sliding time window and can discover general earthquake sequences according to field knowledge. Compared to traditional research on earthquake sequence in seismology, data mining is applied to earthquake prediction, and sequential pattern is used to earthquake sequences. The experiments results reveal that the algorithm can find some interesting general earthquake sequences.
【关键词】 数据预处理;
数据挖掘;
序贯模式;
地震序列;
【Key words】 Data Preprocess; Data Mining; Sequential Pattern; Earthquake Sequence;
【Key words】 Data Preprocess; Data Mining; Sequential Pattern; Earthquake Sequence;
【基金】 国家地震科学联合基金项目(104090);上海市自然科学基金项目(7A05468);上海市高等学校科学技术发展基金项目(205153)
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2005年08期
- 【分类号】P315.75
- 【被引频次】2
- 【下载频次】109