{"id":26864441,"url":"https://github.com/pasanbhanu/time-series-forcasting-benchmark-dataset-preprocessing","last_synced_at":"2025-10-29T21:09:59.720Z","repository":{"id":246227828,"uuid":"818899253","full_name":"PasanBhanu/time-series-forcasting-benchmark-dataset-preprocessing","owner":"PasanBhanu","description":"Benchmark Datasets for Time Series Forecasting Preprocessing - NASA HTTP Dataset, WorldCup98 Dataset","archived":false,"fork":false,"pushed_at":"2025-02-19T13:32:41.000Z","size":3097,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-11T23:48:22.597Z","etag":null,"topics":["benchmark-datasets","datasets","machine-learning"],"latest_commit_sha":null,"homepage":"https://ita.ee.lbl.gov/html/traces.html","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/PasanBhanu.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-23T07:37:56.000Z","updated_at":"2025-02-19T13:32:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"de4e4a21-ade3-4cc7-af30-c7a0a34d9eef","html_url":"https://github.com/PasanBhanu/time-series-forcasting-benchmark-dataset-preprocessing","commit_stats":null,"previous_names":["pasanbhanu/time-series-forcasting-benchmark-dataset-preprocessing"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PasanBhanu/time-series-forcasting-benchmark-dataset-preprocessing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PasanBhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PasanBhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PasanBhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PasanBhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PasanBhanu","download_url":"https://codeload.github.com/PasanBhanu/time-series-forcasting-benchmark-dataset-preprocessing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PasanBhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260443521,"owners_count":23010035,"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":["benchmark-datasets","datasets","machine-learning"],"created_at":"2025-03-31T03:39:20.920Z","updated_at":"2025-10-29T21:09:59.666Z","avatar_url":"https://github.com/PasanBhanu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Pre Processor for Time Series Forcasting\n\nThis is a data preprocessing algorithm for widely used data sets provided by [\"The Internet Traffic Archive\"](https://ita.ee.lbl.gov).\n\nThe supported datasets are,\n- WorldCup98 Dataset - [View](https://ita.ee.lbl.gov/html/contrib/WorldCup.html)\n\n  1,352,804,107 web requests recorded at servers for the 1998 World Cup.\n- NASA HTTP Logs Dataset - [View](https://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html)\n\n  3,461,612  HTTP logs from a busy WWW server for two months.\n\nThis algorithm process the both data sets and create CSV for time series analysis. CSV file format is given below.\n\n| minute | count |\n|--------|-------|\n|1995-07-01 00:00:00| 42    |\n|1995-07-01 00:01:00| 61    |\n|1995-07-01 00:02:00| 57    |\n\n### Features of Algorithm\n\n- WorldCup98 dataset automatic FTP download\n- WorldCup98 dataset cross validation with original file for record count\n- Visualize the processed data\n- Timeseries ready csv output\n- Shrink the dataset size for easier processing\n\n### Preprocessed Files\n\nIf you are interested in preprocessed files, check `processeddata` folder for CSV files.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpasanbhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpasanbhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpasanbhanu%2Ftime-series-forcasting-benchmark-dataset-preprocessing/lists"}