This repo contains useful links to descriptions and implementations of shapelets discovery/learning techniques from different sources.

[0] Lexiang Ye and Eamonn Keogh (2009) Time Series Shapelets: A New Primitive for Data Mining. SIGKDD 2009 [pdf]

[1] Abdullah Mueen, Eamonn Keogh, Neal Young (2011). Logical-Shapelets: An Expressive Primitive for Time Series Classification. SIGKDD 2011. [pdf]

[2] Thanawin Rakthanmanon and Eamonn Keogh. Fast-Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets. SDM 2013 [pdf] [code&extra]

[3] Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme (2014). Learning Time-Series Shapelets, SIGKDD 2014 [pdf] [code&extra]

[4] Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao and Chaomin Luo (2016). A Shapelet Learning Method for Time Series Classification, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence [link] [code&extra]

[5] LHJT Kwok, JM Zurada Efficient learning of timeseries shapelets AAAI'16 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence [pdf]

[6] J Grabocka, M Wistuba, L Schmidt-Thieme. Scalable discovery of time-series shapelets [pdf] [code&extra]

[7] Karlsson, Isak Papapetrou, Panagiotis Boström, Henrik Generealized Random Shapelet Forests [link] [code&extra]