NDLI: Research on Shape-Based Time Series Similarity Measure

Content Provider	IEEE Xplore Digital Library
Author	Xiao-Li Dong Cheng-Kui Gu Zheng-Ou Wang
Copyright Year	2006
Description	Author affiliation: Inst. of Syst. Eng., Tianjin Univ. (Xiao-Li Dong; Cheng-Kui Gu; Zheng-Ou Wang)
Abstract	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 the shape of the time series. Compared with the approaches that exists similar, the present method is more intuitive and compact, and is not sensitive to offset translation, amplitude scaling, compress and stretch. That can reflect the degree of the dynamic change of the tendency and erase the influence of the noises, classify the patterns in more detail, which is favorable to improve the accuracy of the clustering, and multi-scale feature. The experimental results show that our approach has good effectiveness in clustering, which can satisfy the requirement of the shape-similarity of time series effectively under various analyzing frequency
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	1253
Ending Page	1258
File Size	275644
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape measurement Time measurement Euclidean distance Multi-stage noise shaping Time series analysis Data mining Frequency History Piecewise linear techniques Data engineering representation Time series data mining similarity measure
Content Type	Text
Resource Type	Article

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