Discovering Seismic Interactions after the 2011 Tohoku Earthquake by Co-occurring Cluster Mining
Author:
Affiliation:
1. The Institute of Scientific and Industrial Research, Osaka University
2. The Institute of Scientific and Industrial Research, Osaka University (He is currently working at Ricoh Company, Ltd)
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/29/6/29_29_493/_pdf
Reference19 articles.
1. [Agrawal 93] Agrawal, R., Imieliński, T., and Swami, A.: Mining Association Rules Between Sets of Items in Large Databases, in Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (SIGMOD'93), pp. 207–216, ACM (1993)
2. [Ansari 09] Ansari, A., Noorzad, A., and Zafarani, H.: Clustering analysis of the seismic catalog of Iran, Computers & Geosciences, Vol. 35, pp. 475–486 (2009)
3. [Ariyoshi 09] Ariyoshi, K., Hori, T., Ampuero, J.-P., Kaneda, Y., Matsuzawa, T., Hino, R., and Hasegawa, A.: Influence of Interaction between Small Asperities on Various Types of Slow Earthquakes in a 3-D Simulation for a Subduction Plate Boundary, Gondwana Research, Vol. 16, pp. 534–544 (2009)
4. [Faulkner 10] Faulkner, D. R., Jackson, C. A. L., Lunn, R. J., Schlische, R. W., Shipton, Z. K., Wibberley, C. A. J., and Withjack, M. O.:A review of recent developments concerning the structure, mechanics and fluid flow properties of fault zone, Journal of Structural Geology, Vol. 32, No. 11, pp. 1557–1575 (2010)
5. [Geller 97] Geller, R. J., Jackson, D. D., Kagan, Y. Y., and Mulargia, F.: Earthquakes cannot be predicted, Science, Vol. 275, No.5306, p. 1616 (1997)
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