参考文献
[1]Butzer P L,Nessel R J.Fourier Analysis and Approxi-mation[M].[S.l.]:Academic Press,2011.
[2]Chaovalit P,Gangopadhyay A,Karabatis G,et al.Discrete Wavelet Transform-based Time Series Analysis and Mining[J].ACM Computing Surveys,2011,43(2).
[3]Fu T.A Review on Time Series Data Mining[J].Engineering Applications of Artificial Intelligence,2011,24(1):164-181.
[4]Lin J,Keogh E,Lonardi S,et al.A Symbolic Represent-ation of Time Series,with Implications for Streaming Algorithms[C]//Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.New
York,USA:ACM Press,2003:2-11.
[5]钟清流,蔡自兴.基于统计特征的时序数据符号化算法[J].计算机学报,2008,31(10):1857-1864.
[6]闫秋艳,夏士雄.一种无限长时序的分段线性拟合算法[J].电子学报,2010,38(2):444-448.
[7]周大镯,李敏强.基于序列重要点的时间序列分割[J].计算机工程,2008,34(23):14-16.
[8]李重文,邓腾彬,马世龙.基于分段极值的时间序列数据查询显示方法[J].计算机工程,2014,40(9):27-30.
[9]李爱国,覃征.在线分割时序数据[J].软件学报,2004,15(11):1671-1678.
[10]肖辉,马海兵,龚薇.基于时态边缘算子的时间序列分段线性表示[J].计算机工程与应用,2008,44(19):156-159.
[11]詹艳艳,徐荣聪,陈晓云.基于斜率提取边缘点的时间序列分段线性表示方法[J].计算机科学,2006,33(11):139-142.
[12]杜奕,卢德唐,李道伦,等.基于层次聚类的时间序列在线划分算法[J].模式识别与人工智能,2007,20(3):23-27.
[13]Keogh E,Chakrabarti K,Pazzani M J,et al.Dimensiona-lity Reduction for Fast Similarity Search in Large Time Series Databases[J].Knowledge and Information Systems,2008,3(3):263-286.
[14]Yi B K,Faloustsos C.Fast Time Sequence Indexing for Arbitrary Lp Norms[C]//Proceedings of the 26th International Conference on Very Large Databases.Cairo,Egypt:[s.n.],2000:385-394.
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