Jin A. Lee
ABSTRACT
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.
- Nimmagadda, S. L., Dreher, H. "Ontology based data warehouse modeling and mining of earthquake data: prediction analysis along Eurasian-Australian continental plates" Industrial Informatics, 2007 5th IEEE International Conference on Volume 1, 23--27 June 2007 pp. 597--602.Google Scholar
- Wan, S. a, Lei, T. C.b, Chou, T. Y.c. "A novel data mining technique of analysis and classification for landslide problems" Natural Hazards, 2009, pp. 1--20.Google Scholar
- Dingsheng, W., Yitao, Z., Shijin, L. "Discovery association rules in time series of hydrology" IEEE ICIT 2007--2007 IEEE International Conference on Integration Technology 2007, Article number 4290400, pp. 653--657.Google Scholar
- Srinkant, R. and Agrawal, R. "Mining Quantitative Association Rules in Large Relational Tables." In Proc. International Conference on Management of Data, June. 1996., ACM SIGMOD, Montreal Canada, pp. 1--12. Google ScholarDigital Library
- Imberman, S. and Domanski, B., "Finding Assiciation Rules form Quantitative Data Using Data Booleanization." In Proc. The 7th Americans Conf. On Informations Systems, City University of New York, 2001.Google Scholar
- USGS Earthquake Hazards Program DOI=http://earthquake.usgs.gov/Google Scholar
- UNAVCO (university navstar consortium)Google Scholar
Index Terms
- Mining quantitative association rule of earthquake data
Recommendations
Association rule and quantitative association rule mining among infrequent items
MDM '07: Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)Association rule mining among frequent items has been extensively studied in data mining research. However, in the recent years, there is an increasing demand of mining the infrequent items (such as rare but expensive items). Since exploring interesting ...
Mining association rules from quantitative data
Data-mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values, however, ...
Comments