期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：35
期号：1
页码：36-37
DOI：10.14445/22312803/IJCTT-V35P106
出版社：Seventh Sense Research Group
摘要：An Earthquake is more important for geophysics and economy problems. The Support Vector Machine of data mining techniques with cluster analysis is used to predict impact of earthquake [2]. The historical data are collected which has follow the time series methodology, combine the data mining for preprocessing and finally apply the SVM to predict the impact of earthquake. Earthquake prediction has done by historical earthquake time series to investigating the method at first step ago. Huge data sets are preprocessed using data mining techniques. Based on this process data prediction is possible [1]. This paper is focused on statistics and soft computing techniques to analyze the earthquake data.
关键词：Earthquake liquefaction; seismicsubsidence; building settlements; support vectorclassification
