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基于Weka的地震数据挖掘系统的设计与实现
引用本文:董晓娜,;段会川,;张文娟.基于Weka的地震数据挖掘系统的设计与实现[J].山东地质,2009(8):46-49.
作者姓名:董晓娜  ;段会川  ;张文娟
作者单位:[1]山东师范大学信息科学与工程学院,山东济南250014; [2]山东省地震局,山东济南250014; [3]山东省地质科学实验研究院,山东济南250013
摘    要:基于开源的数据挖掘系统Weka,使用Java语言及面向对象的思想,设计并实现了地震数据挖掘系统。根据地震数据资料的特点,将数据挖掘的核心技术(聚类分析、关联规则分析等)引入到该系统中,其中聚类分析选用DBSCAN作为核心算法,关联规则分析选用Apriori作为核心算法。用户使用该系统只需在交互界面选择相关参数,即可实现调用数据挖掘算法来分析地震数据,发现探索其隐含规律。

关 键 词:Weka  地震  数据挖掘  聚类分析  关联规则

Design and Implementation of Seismic Data Mining System Based on Weka
Institution:DONG Xiao--na , DUAN Hui--chuan , ZHANG Wen--juan (1. Information Science and Engineering College of Shandong Normal University,Shandong Jinan 250014, China;2. Shandong Earthquake Administration Bureau,Shandong Jinan 250014, China ; 3. Shandong In- stitute and Laboratory of Geological Sciences, Shandong Jinan 250013, China)
Abstract:Based on open source data mining system of the Weka, by using Java language and object--oriented ideas, seismic data mining system is designed. According to characteristics of seismic datas, the core technology of datas mining (cluster analysis, association rules analysis, etc. ) are led into the system. Among them, the DBSCAN algorithm is regarded as a core selection in cluster analysis, while Apriori is selected as the core of association rule analysis. The system user can simply select the relevant parameters in intersection boundary, and data mining algorithms which are used to analyze the seismic datas and find the laws can be gained.
Keywords:Weka  seismology  data mining  cluster analysis  association rules
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