Prediction of earthquake in Yunnan region based on the AHC over sampling

Author

Tan, Kai ; Cai, Xiushan

Author_Institution

Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2449

Lastpage

2452

Abstract

The data of earthquake of magnitude 3.5 or greater that happened during the 1970 and 2008 in Yunnan region (22 degrees and 28 degrees north, 98 degrees and 104 degrees east) were compiled and analyzed in this paper. After calculating the seismicity indicators and constructing the initial data set, AHC over sampling method was used on the imbalanced data. Then small earthquakes and large ones during the 1999 and 2008 were predicted and verified with the support vector machines (SVM) which contains different error cost. The result performs well, and it provides a new way for the earthquake prediction.

Keywords

earthquakes; geophysical techniques; geophysics computing; pattern clustering; sampling methods; seismology; support vector machines; AHC over sampling method; agglomerative hierarchical clustering; earthquake prediction; seismicity indicators; support vector machines; Costs; Data engineering; Data mining; Earthquake engineering; History; Information analysis; Mathematics; Physics; Sampling methods; Support vector machines; Biased support vector machines; Earthquake prediction; Over sampling; Seismicity indicators;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498782

Filename

5498782