{"id":26997201,"url":"https://github.com/adityalab/ratss","last_synced_at":"2025-04-04T02:17:11.384Z","repository":{"id":75710159,"uuid":"386774561","full_name":"AdityaLab/RaTSS","owner":"AdityaLab","description":null,"archived":false,"fork":false,"pushed_at":"2021-11-02T01:42:22.000Z","size":4823,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2023-10-26T11:54:17.520Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/AdityaLab.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":"2021-07-16T22:03:07.000Z","updated_at":"2021-11-10T13:52:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"d9bf31b4-ece6-40f1-ac1a-5d59a55d5ce7","html_url":"https://github.com/AdityaLab/RaTSS","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaLab%2FRaTSS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaLab%2FRaTSS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaLab%2FRaTSS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaLab%2FRaTSS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AdityaLab","download_url":"https://codeload.github.com/AdityaLab/RaTSS/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247107826,"owners_count":20884797,"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":[],"created_at":"2025-04-04T02:17:10.800Z","updated_at":"2025-04-04T02:17:11.379Z","avatar_url":"https://github.com/AdityaLab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 'Actionable Insights in Multivariate Time-series for Urban Analytics', Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, and B. Aditya Prakash\n\n==========================================================================\nPaper:\n-------------\nBoth paper and supplementary readings are added here. Check Ratss_SigKDD2021_MILETS.pdf\n-------------\nUsage:\nNote: You need to set the correct MATLAB_path in the makefile (Including the MATLAB executable).\n```\n- Example:\n    MATLAB_path = '/usr/local/bin/./matlab'\n```\nTo run Ratss for sample data do as follows,\n```\n\u003e\u003e make demo  \n```\n'make demo' will run for the sample data (Covid-19 interventions data in the paper) in data/ directory.\n\nOutput:\n-------\n #located in result_file directory\n -- covid_interventions_exp.csv: nXs contains the rationalization weight of n time-series in s segments in the segment file.\n \n -- covid_interventions_ei.csv: nXs, each column contains the time-series index ranked by rationalization weights in _exp.csv for each segment in the segment file.\n \n -- covid_interventions_Prest.txt: file of n, contains cost Prest of n time-series \n \n -- covid_interventions_ttl_path.txt: contains value of ttl path of the constructed segment graph, i.e., K\n \n -- covid_interventions_B.txt: file of nX3, contains cost K*PB-PRest,PB,Prest of n time-series \n\nCitations:\n------------\nThis paper is under creative common license. If you use our code and paper use the following citations.\n\n@article{tabassum2021actionable,\n  title={Actionable Insights in Multivariate Time-series for Urban Analytics},\n  author={Tabassum, Anika and Chinthavali, Supriya and Tansakul, Varisara and Prakash, B Aditya},\n  journal={7th International Workshop of Mining and Learning Time Series in ACM SigKDD},\n  year={2021}\n}\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadityalab%2Fratss","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadityalab%2Fratss","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadityalab%2Fratss/lists"}