论文信息 - MGEoT: A Multi-grained Ensemble Method for Time Series Classification - 字舞流文

MGEoT: A Multi-grained Ensemble Method for Time Series Classification

Lin Shang | Ziyi Wang | Yujie Zhou | Chun Li | Bing Xue | L. Shang | Bing Xue | Chun Li | Ziyi Wang | Yujie Zhou

[1] Eamonn J. Keogh,et al. A symbolic representation of time series, with implications for streaming algorithms , 2003, DMKD '03.

[2] Jason Lines,et al. Ensembles of Elastic Distance Measures for Time Series Classification , 2014, SDM.

[3] Siva Sivaganesan,et al. An Introduction to the Bootstrap (Bradley Efron and Robert J. Tibshirani) , 1994, SIAM Rev..

[4] Lars Schmidt-Thieme,et al. Learning time-series shapelets , 2014, KDD.

[5] Wei Tang,et al. Ensembling neural networks: Many could be better than all , 2002, Artif. Intell..

[6] Eamonn J. Keogh,et al. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping , 2012, KDD.

[7] Christos Faloutsos,et al. Fast subsequence matching in time-series databases , 1994, SIGMOD '94.

[8] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .

[9] Patrick Schäfer,et al. Towards Time Series Classification without Human Preprocessing , 2014, MLDM.

[10] Patrick Schäfer,et al. Scalable time series classification , 2016, Data Mining and Knowledge Discovery.

[11] Eamonn J. Keogh,et al. Time series shapelets: a new primitive for data mining , 2009, KDD.

[12] Patrick Schäfer. The BOSS is concerned with time series classification in the presence of noise , 2014, Data Mining and Knowledge Discovery.