Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
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Earthquake is a natural disaster which causes extensive poverty damage as well as the death of thousands and thousands of people. In this study, we tried to find the unknown characteristics of earthquakes using association rule mining methods global earthquake data occurred since 1973. As a way for mining of quantitative association rule on the earthquake data which includes date, location, magnitude and depth of earthquake. we divided it into small sections and applied a method to find out association rule by repeating the process to merge nearby sections. As the result from study, we could derive associate relationship between time and magnitude, depth and magnitude, as well as location and frequency. This result could prove the relationship more efficiently when data mining technique was applied to earthquake data. It would serve as a reference for further study of relationship with other attributes such as geology, tectonic and so on.