{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/random-pairwise-shapelets-forest","title":"Random Pairwise Shapelets Forest","arxiv_id":"1903.07799","date":"2019-03-19","proceeding":null,"authors":["Mohan Shi","Zhihai Wang","Jodong Yuan","Haiyang Liu"],"abstract":"Shapelet is a discriminative subsequence of time series. An advanced\nshapelet-based method is to embed shapelet into accurate and fast random\nforest. However, it shows several limitations. First, random shapelet forest\nrequires a large training cost for split threshold searching. Second, a single\nshapelet provides limited information for only one branch of the decision tree,\nresulting in insufficient accuracy and interpretability. Third, randomized\nensemble causes interpretability declining. For that, this paper presents\nRandom Pairwise Shapelets Forest (RPSF). RPSF combines a pair of shapelets from\ndifferent classes to construct random forest. It omits threshold searching to\nbe more efficient, includes more information for each node of the forest to be\nmore effective. Moreover, a discriminability metric, Decomposed Mean Decrease\nImpurity (DMDI), is proposed to identify influential region for every class.\nExtensive experiments show RPSF improves the accuracy and training speed of\nshapelet-based forest. Case studies demonstrate the interpretability of our\nmethod.","url_abs":"http://arxiv.org/abs/1903.07799v2","url_pdf":"http://arxiv.org/pdf/1903.07799v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"random-pairwise-shapelets-forest","repo_url":"https://github.com/nephashi/RandomPairwiseShapeletsForest","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"}],"methods":[{"method_slug":"interpretability","method_name":"Interpretability"},{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}