An event called prediction in a time series is more important for geophysics and economy problems. The time series data mining is a combination field of time series and data mining techniques. The historical data are collected which has follow the time series methodology, combine the data mining for preprocessing and finally apply the fuzzy logic rules to predict the impact of earthquake. Earth...

Mega quakes pose major threats to modern society, generating casualties and fatalities, disrupting socioeconomic activities, and causing enormous economic loss across the world. Recent major disasters, such as the 2004 Indian Ocean tsunami, the 2011 Tohoku Japan earthquake and tsunami, and the 2015 Gorkha Nepal earthquake, are vivid reminders that complex risk cascades drive most earthquake cri...

Due to the large numbers of units and organizations in earthquake precursor industry, there exist some problems as follows: a) how to dynamically manage the relationships among different units; b) how to synchronize the metadata from lower unit to upper unit in a quick way; c) how to manage the metadata restriction in distributed system. Based on the current situation, the demand for earthquake...

— 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 pre-processing and finally apply the SVM to predict the impact of earthquake. Earthquake predictio...

Observations of earthquake precursors via geomagnetic anomalies from ultra-low frequency (ULF) could provide an expectation for short-term prediction. However, there are still several obstacles in determining this precursor, one which is the presence a precursor bias if occurs at close time and location. To cope with problem, we analysed six earthquakes magnitude >5 on Pagai Island, Mentawai...