基于Weka的地震数据挖掘系统的设计与实现

Design and Implementation of Seismic Data Mining System Based on Weka

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。

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.