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This paper analyze the market share between different brands of sanitary napkins in a certain supermarket chain in Zhejiang province, China; also make shopping basket analysis to know what is the best partner of sanitary napkins; and use time series to analyze the seasonal fluctuations in sales. It is hoped that these analysis results will help sanitary napkins manufacturers and sales to do business...
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...
Mining periodic patterns in time-series databases is an interesting data-mining problem with wide application. Research on asynchronous periodic patterns is of great importance. The position list produce algorithm of each event is the essential prerequisite and foundation of the existing asynchronous periodic patterns mining algorithms. We propose a dot product based time series asynchronous periodic...
The representation and similarity measure of time series are the basis of time series research, and are quite important for improving the efficiency and accuracy of the time series data mining. In this paper, shape-based discrete symbolic representation and distance measure, which is used to measure the similarity between time series is presented. This method quantitatively represents the change of...
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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