{"id":20190307,"url":"https://github.com/rob-med/everything-shapelets","last_synced_at":"2026-03-07T06:02:43.278Z","repository":{"id":108172328,"uuid":"86552324","full_name":"rob-med/Everything-Shapelets","owner":"rob-med","description":"This repo contains useful links to research papers and implementations of shapelets discovery/learning techniques from different sources.","archived":false,"fork":false,"pushed_at":"2017-04-07T19:14:34.000Z","size":3,"stargazers_count":19,"open_issues_count":0,"forks_count":7,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-13T18:50:50.187Z","etag":null,"topics":["data-analysis","data-mining","shapelets","time-series-analysis","timeseries"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rob-med.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-03-29T07:36:31.000Z","updated_at":"2024-11-29T10:57:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"cc33c671-c9b9-4057-a95e-ddbf602fd5b5","html_url":"https://github.com/rob-med/Everything-Shapelets","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rob-med%2FEverything-Shapelets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rob-med%2FEverything-Shapelets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rob-med%2FEverything-Shapelets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rob-med%2FEverything-Shapelets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rob-med","download_url":"https://codeload.github.com/rob-med/Everything-Shapelets/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241625206,"owners_count":19993029,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-mining","shapelets","time-series-analysis","timeseries"],"created_at":"2024-11-14T03:42:23.365Z","updated_at":"2026-03-07T06:02:43.228Z","avatar_url":"https://github.com/rob-med.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Everything-Shapelets\n\u003eThis repo contains useful links to descriptions and implementations of shapelets discovery/learning techniques from different sources.\n\n---------------------------------------\n\n# 1 Research Papers and Implementations\n\n## 1.0 Original Paper \n\n**[0]** Lexiang Ye and Eamonn Keogh (2009) **Time Series Shapelets: A New Primitive for Data Mining**. SIGKDD 2009 [[pdf]](http://www.cs.ucr.edu/~eamonn/shaplet.pdf)\n\n## 1.1 Logical Shapelets\n\n**[1]** Abdullah Mueen, Eamonn Keogh, Neal Young  (2011). **Logical-Shapelets: An Expressive Primitive for Time Series Classification**.  SIGKDD 2011. [[pdf]](http://www.cs.ucr.edu/~eamonn/LogicalShapelet.pdf)\n\n## 1.2 Fast Shapelets\n\n**[2]** Thanawin Rakthanmanon and Eamonn Keogh. **Fast-Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets**. SDM 2013 [[pdf]](http://www.cs.ucr.edu/~eamonn/SDM_FastShapelets.pdf) [[code\u0026extra]](http://alumni.cs.ucr.edu/~rakthant/FastShapelet/)\n\n## 1.3 Learning Shapelets \n\n**[3]** Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme (2014).\n**Learning Time-Series Shapelets**, SIGKDD 2014 [[pdf]](https://www.ismll.uni-hildesheim.de/pub/pdfs/grabocka2014e-kdd.pdf) [[code\u0026extra]](http://fs.ismll.de/publicspace/LearningShapelets/)\n\n**[4]** Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao and Chaomin Luo (2016).\n**A Shapelet Learning Method for Time Series Classification**, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence [[link]](http://ieeexplore.ieee.org/abstract/document/7814631/) [[code\u0026extra]](https://github.com/yyawesome/LearningShapelets)\n\n**[5]** LHJT Kwok, JM Zurada **Efficient learning of timeseries shapelets**  AAAI'16 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence [[pdf]](https://www.cse.ust.hk/~jamesk/papers/aaai16c.pdf)\n\n## 1.4 Scalable Discovery\n\n**[6]** J Grabocka, M Wistuba, L Schmidt-Thieme. **Scalable discovery of time-series shapelets** [[pdf]](https://arxiv.org/pdf/1503.03238)\n [[code\u0026extra]](https://www.dropbox.com/sh/btiee2pyn6a989q/AACDfzkkpdYPmgw7pgTgUoeYa)\n\n## 1.5 Random Shapelet Forests\n\n**[7]** Karlsson, Isak Papapetrou, Panagiotis Boström, Henrik **Generealized Random Shapelet Forests** [[link]](https://link.springer.com/article/10.1007/s10618-016-0473-y) [[code\u0026extra]](http://people.dsv.su.se/~isak-kar/grsf/)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frob-med%2Feverything-shapelets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frob-med%2Feverything-shapelets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frob-med%2Feverything-shapelets/lists"}