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时间序列早期分类综述 被引量：10

Review of early classification on time series
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摘要 在总结了近年来关于时间序列早期分类相关文献和相关研究进展的基础上,对参考文献中的学术观点、分类方法进行了比较归类,内容涵盖了时间序列原始数据的早期分类,时间序列早期分类的特征提取与选择、评估方法,早期分类构造模型等方面,为研究者了解最新的时间序列早期分类研究动态、新技术、发展趋势提供了参考。 On the base of reading the literatrues about early classification on time series in recent years, this paper summarized the relevant re- search development of early classification of time series, and categorized the academic opinions, classification methods. This paper covers fea- ture extraction and selection, evaluation methodology, and the construction of model. It provides reference for researchers to get the research trends, development and new techniques.
作者 马超红 翁小清
机构地区 河北经贸大学信息技术学院
出处 《微型机与应用》 2016年第16期13-15,19,共4页 Microcomputer & Its Applications
关键词 时间序列 早期分类 特征提取与选择 time series early classification feature extraction and selection
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献18

  • 1Xing Zhengzheng, Pei Jian, YU P S, et al. Extracting inter- pretable features for early classification on time series [ C ]. SDM, 2011 : 247-258.
  • 2Xing Zhengzheng, Pei Jian, Dong Guozhu, et al. Mining Se- quence Classifiers for Early Prediction [ C ]. SDM, 2008 : 644- 655.
  • 3Xing Zhengzheng, Pei Jian, YU P S. Early classification on time series[J]. Knowledge and information systems, 2012, 31 (1): 105-127.
  • 4Xing Zhengzheng, Pei Jian, YU P S. Early prediction on time series: a nearest neighbor approach[ C]. IJCAI, 2009: 1297- 1302.
  • 5GHALWASH M F, OBRADOVIC Z. Early classification of multivariate temporal observations by extraction of interpretable shapelets[J]. BMC Bioinformatics, 2012, 13(1): 1-12.
  • 6He Guoliang,Duan Yong, Zhou Guofu, et al. Early classifica- tion on multivariate time series with core features [ C ]. Database and Expert Systems Applications. Springer International Pub- lishing, 2014: 410-422.
  • 7He Guoliang, Duan Yong, Peng Rong, et al. Early prediction on imbalanced multivariate time series [ C ]. Proceedings of the 22nd ACM International Conference on Conference on Informa- tion & Knowledge Management. ACM, 2013: 1889-1892.
  • 8HE G,DUAN Y, PENG R, et al. Early classification on multivari- ate time series[J]. Neurocomputing, 2014, 149(7): 777-787.
  • 9LIN Y F, CHEN H H, TSENG V S, et al. Reliable early elas- sification on multivariate time series with numerical and cate- gorical attributes [ A ]. Advances in Knowledge Diseovery and Data Mining. Springer International Publishing, 2015,9077 : 199-211.
  • 10DACHRAOUI A, BONDU A, CORNUEJOLS A. Eval- uation protocol of early classifiers over multiple data sets[ A ]. Neural Information Processing [ C ]. Springer International Publishing, 2014,8835:548-555.

二级参考文献77

  • 1陈为,张嵩,鲁爱东.数据可视化的基本原理与方法[M].北京:科学出版社,2013.
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共引文献59

同被引文献64

引证文献10

二级引证文献58

微型机与应用
2016年 第16期

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