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Recently, periodic pattern mining from time series data has been studied extensively. Existing studies on periodic patterns mining mainly consider discovering full periodic patterns from an entire time series. However, partial periodic patterns are more useful in practice since only some of the time episodes may exhibit periodic patterns. This paper aims to discover the partial periodic pattern in...
Notice of Violation of IEEE Publication Principles"A Local Segmented Dynamic Time Warping Distance Measure Algorithm for Time Series Data Mining"by Xiao-Li Dong, Cheng-Kui Gu, Zheng-Ou Wangin the Proceedings of the Fifth International Conference on Machine Learning and CyberneticsAfter careful and considered review of the content and authorship of this paper by a duly constituted expert...
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