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Discover relaxed periodicity in temporal databases

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3 Author(s)
Tang Changjie ; Dept. of Comput., Sichuan Univ., Chengdu, China ; Yu Zhonghua ; Zhang Tianqing

The relaxed-periodicity pattern describes loose-cyclic behavior of objects while allowing uneven stretch or shrink on the time axis, limited noise, and inflation/deflation of attribute values. To discover relaxed-periodicity from temporal databases, we propose the concepts of attribute trend, trend inertia, peak-valley pattern, inertia algorithm with anti-noise ability as well as the peak-valley algorithm and show that the implementation prototype is efficient

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Database Systems for Advanced Applications, 1999. Proceedings., 6th International Conference on

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