Abstract
Relaxed periodicity is proposed to describe loose-‘cyclic behavior of objects while allowing uneven stretch or shrink on time axis, limited noises, and inflation/deflation of attribute values. The techniques to mine the relaxed periodicity and the association between objects with relaxed periodicity are studied. The proposed algorithms are tested by the data in the Seismic database of Annin River area, and its results are interesting to seismology.
This project is in part supported by The National Science Foundation of China grant, #69773051 and the Hong Kong CERG grant, #9040339.
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© 1999 Springer-Verlag Berlin Heidelberg
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Tang, C. et al. (1999). Discovering Tendency Association between Objects with Relaxed Periodicity and Its Application in Seismology. In: Hui, L.C.K., Lee, DL. (eds) Internet Applications. ICSC 1999. Lecture Notes in Computer Science, vol 1749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46652-9_6
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DOI: https://doi.org/10.1007/978-3-540-46652-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66903-6
Online ISBN: 978-3-540-46652-9
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