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[1] Eamonn J. Keogh,et al. A symbolic representation of time series, with implications for streaming algorithms , 2003, DMKD '03.
[2] Tran Khanh Dang,et al. Two Novel Adaptive Symbolic Representations for Similarity Search in Time Series Databases , 2010, 2010 12th International Asia-Pacific Web Conference.
[3] Yannis Manolopoulos,et al. Continuous Trend-Based Classification of Streaming Time Series , 2005, ADBIS.
[4] Liping Zhang,et al. TSX: A Novel Symbolic Representation for Financial Time Series , 2012, PRICAI.
[5] Shuqiang Yang,et al. Symbolic representation based on trend features for biomedical data classification. , 2015, Technology and health care : official journal of the European Society for Engineering and Medicine.
[6] Bernard Hugueney,et al. Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures , 2006, PKDD.
[7] Peter Ljubi,et al. TIME-SERIES ANALYSIS OF UK TRAFFIC ACCIDENT DATA , 2002 .
[8] Eamonn J. Keogh,et al. Locally adaptive dimensionality reduction for indexing large time series databases , 2001, SIGMOD '01.
[9] Yannis Manolopoulos,et al. Continuous Trend-Based Clustering in Data Streams , 2008, DaWaK.
[10] Mohamed Medhat Gaber,et al. RA-SAX: Resource-Aware Symbolic Aggregate Approximation for Mobile ECG Analysis , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.
[11] Eamonn J. Keogh,et al. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.
[12] Jiuyong Li,et al. An improvement of symbolic aggregate approximation distance measure for time series , 2014, Neurocomputing.
[13] Qi-Lun Zheng,et al. Pattern distance of time series based on segmentation by important points , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[14] Tak-Chung Fu,et al. A review on time series data mining , 2011, Eng. Appl. Artif. Intell..
[15] Nuno Horta,et al. A new SAX-GA methodology applied to investment strategies optimization , 2012, GECCO '12.
[16] Xindong Wu,et al. 10 Challenging Problems in Data Mining Research , 2006, Int. J. Inf. Technol. Decis. Mak..
[17] Zhong Qing. The Symbolic Algorithm for Time Series Data Based on Statistic Feature , 2008 .
[18] Eamonn J. Keogh,et al. Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets , 2013, SDM.
[19] Kyoji Kawagoe,et al. New Time Series Data Representation ESAX for Financial Applications , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).
[20] Li Wei,et al. Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.
[21] Li Hai. Symbolic Aggregate Approximation Based on Shape Features , 2011 .
[22] FuTak-chung. A review on time series data mining , 2011 .
[23] Hayato Yamana,et al. An improved symbolic aggregate approximation distance measure based on its statistical features , 2016, iiWAS.