Computer Science ›› 2018, Vol. 45 ›› Issue (6): 216-221.doi: 10.11896/j.issn.1002-137X.2018.06.039
• Artificial Intelligence • Previous Articles Next Articles
JI Hai-juan, ZHOU Cong-hua, LIU Zhi-feng
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[1]CRYER J D,CHAN K S,时间序列分析及应用:R 语言[M].潘红宇,译.北京:机械工业出版社,2011:25-29. [2]HAN J,PEI J,KAMBER M.Data mining:concepts and techniques[M].Amsterdam:Elsevier,2011:20-23. [3]FU T.A review on time series data mining[J].Engineering Applications of Artificial Intelligence,2011,24(1):168-181. [4]LI H L.Research on Feature Representation and Similarity Meaure Methods in Time Series Data Mining[D].Dalian:Dalian University of Technology,2012.(in Chinese) 李海林.时间序列数据挖掘中的特征表示与相似性度量方法研究[D].大连:大连理工大学,2012. [5]ESLING P,AGON C.Time-series data mining[J].ACM Computing Surveys (CSUR),2012,45(1):12. [6]LI H L,GUO C H.Survey of feature representations and similarity measurements in time series data mining[J].Application Research of Computers,2013,30(5):1285-1291.(in Chinese) 李海林,郭崇慧.时间序列数据挖掘中特征表示与相似性度量研究综述[J].计算机应用研究,2013,30(5):1285-1291. [7]YUAN J D,WANG Z H.Review of Time Series Representation and ClassificationTechniques[J].Computer Science,2015,42(3):1-7.(in Chinese) 原继东,王志海.时间序列的表示与分类算法综述[J].计算机科学,2015,42(3):1-7. [8]AGRAWAL R,FALOUTSOS C,SWAMI A.Efficient similarity search in sequence databases[C]//International Conference on Foundations of Data Organization and Algorithms.1993:69-84. [9]RATANAMAHATANA C,KEOGH E,BAGNALL A J,et al.A novel bit level time series representation with implication of similarity search and clustering[C]//Pacific-Asia Conference on Knowledge Discovery and Data Mining.Springer Berlin Heidelberg,2005:771-777. [10]LIN J,KEOGH E,WEI L,et al.Experiencing SAX:a novel symbolic representation of time series[J].Data Mining and knowledge discovery,2007,15(2):107-144. [11]AZZOUZI M,NABNEY I T.Analysing time series structure with Hidden Markov Models[C]//Neural Networks for Signal Processing VIII,1998.Proceedings of the 1998 IEEE Signal Processing Society Workshop.IEEE,1998:402-408. [12]KALPAKIS K,GADA D,PUTTAGUNTA V.Distance measures for effective clustering of ARIMA time-series[C]//Proceedings IEEE International Conference on Data Mining,2001(ICDM 2001).IEEE,2001:273-280. [13]KEOGH E,CHAKRABARTI K,PAZZANI M,et al.Dimensionality reduction for fast similarity search in large time series databases[J].Knowledge and Information Systems,2001,3(3):263-286. [14]ZHU Y.High performance data mining in time series:techniques and case studies[D].New York:New York University,2004. [15]LKHAGVA B,SUZUKI Y,KAWAGOE K.New time series data representation ESAX for financial applications[C]//22nd International Conference on Data Engineering Workshops.IEEE,2006:115-115. [16]ZHONG Q L,CAI Z X.The Symbolic Algorithm for Time Series Data Based on Statistic Feature[J].Chinese Journal of Com-puters,2008,31(10):1857-1864.(in Chinese) 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. [17]ESMAEL B,ARNAOUT A,FRUHWIRTH R,et al.Multivariate time series classification by combining trend-based andvaluebased approximations[M]//Computational Science and Its Applications-ICCSA 2012.Springer Berlin Heibelberg,2012:392-403. [18]SUN Y,LI J,LIU J,et al.An improvement of symbolic aggregate approximation distance measure for time series[J].Neurocomputing,2014,138(11):189-198. [19]ZHENG X,SHENG L H,CUI X Y.A Piecewise Aggregation Approximation of Time Series Based on Wavelet Entropy [J].Computer Simulation,2015,32(1):411-415.(in Chinese) 郑旭,盛立辉,崔宵语.基于小波熵的时间序列分段聚合近似表示[J].计算机仿真,2015,32(1):411-415. [20]WANG Y,AN Y.Composite similarity measure algorithm[C]//2016 12th International Conference on Natural Computation,Fuzzy Systems and Knowledge Discovery(ICNC-FSKD).IEEE,2016:1254-1258. [21]LARSEN R J,MARX M L.An introduction to mathematical statistics and its applications[M].Prentice-Hall Englewood,1986:470-481. |
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