Everything-Shapelets

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

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1 Research Papers and Implementations

1.0 Original Paper

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

1.1 Logical Shapelets

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

1.2 Fast Shapelets

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

1.3 Learning Shapelets

[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]

1.4 Scalable Discovery

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

1.5 Random Shapelet Forests

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