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基于角度集序列的地震相关地区匹配算法

Relevant areas of earthquake matching algorithm based on sequence of angel set
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摘要 为了利用数据挖掘技术寻找地震相关地区,针对现有算法中存在的问题,提出了一种基于角度集序列的地震相关地区匹配算法。对地震序列在需关联维度的平面上进行投影,根据特征点进行分段线性化处理,将用分段线性化表示的序列转化成角度集描述的序列,利用定义的相似度度量模型对处理好的序列进行计算,以得到相似度值为依据在数据库中寻找最大相似的序列段。两组对比实验的结果表明了该算法的正确性、有效性和实际应用价值。 To find the earthquake-related areas use of data mining techniques, an algorithm based on sequence ot angel set is proposea, it is aimed at the problems of existing algorithms. Projection of the earthquake sequence in the related dimensions is extracted firstly, then the sequence piecewise linear by feature points, is made and is converted into the sequence with angel set description. Similarity is calculated by similarity metric model which has been defined. The similar degree is used to find the most sim}|ar sequence in the database. Two groups of experiment' s contradistinction verify the validity and practical of the algorithm.
出处 《计算机工程与设计》 CSCD 北大核心 2011年第7期2536-2539,共4页 Computer Engineering and Design
基金 安徽省自然科学基金项目(090412063)
关键词 数据挖掘 地震相关地区 角度集序列 地震序列 相似度 data mining relevant areas of earthquake sequence of angel set multi-dimensional seismic data similarity
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