{ "id": 75536, "title": "Some Ressources for Anomaly Detection in Time Series", "url": "/competitions/vsb-power-line-fault-detection/discussion/75536", "author_name": "", "post_date": "2018-12-22T22:12:07.677600Z", "votes": 28, "comment_count": 3, "views": 0, "content": "

Here are some stuff I found, looking for anomaly detection/predictive maintenance with time series analysis. Hopefully some of these can be useful.

\n\n", "messages": [ { "id": "444000", "postDate": "12/22/2018 22:12:07", "content": "

Here are some stuff I found, looking for anomaly detection/predictive maintenance with time series analysis. Hopefully some of these can be useful.

\n\n", "rawMarkdown": "Here are some stuff I found, looking for anomaly detection/predictive maintenance with time series analysis. Hopefully some of these can be useful. \n\n- Long Short Term Memory Networks for Anomaly Detection in Time Series :\n> https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2015-56.pdf\n\n- Novelty Detection in Time Series Data using Ideas from Immunology :\n> https://pdfs.semanticscholar.org/2ef7/a7225f60dc2bc3df6cbfd91194ee437666ef.pdf\n\n- Anomaly Detection in Predictive Maintenance with Time Series Analysis :\n> https://www.kdnuggets.com/2015/12/anomaly-detection-predictive-maintenance-time-series-analysis.html", "votes": null }, { "id": "481533", "postDate": "03/01/2019 14:21:00", "content": "

Thanks!

", "rawMarkdown": "Thanks!", "votes": null }, { "id": "650171", "postDate": "10/16/2019 06:50:11", "content": "

Thanks for sharing @theoviel. How would model accuracy be continuously monitored/validated for a real-world application?\nDo domain experts label theses anomalies manually?

", "rawMarkdown": "Thanks for sharing @theoviel. How would model accuracy be continuously monitored/validated for a real-world application?\nDo domain experts label theses anomalies manually?", "votes": null }, { "id": "1215720", "postDate": "02/23/2021 22:24:00", "content": "

Thanks for sharing the resources.
\nHere's my contribution for this series on time series ;-))
\nhttps://www.kaggle.com/drscarlat/anomaly-detection-in-multivariate-time-series

", "rawMarkdown": "Thanks for sharing the resources.\nHere's my contribution for this series on time series ;-))\nhttps://www.kaggle.com/drscarlat/anomaly-detection-in-multivariate-time-series", "votes": null } ], "comments": [ { "id": 1215720, "author_name": "drscarlat", "author_url": "", "post_date": "02/23/2021 22:24:00", "content": "

Thanks for sharing the resources.
\nHere's my contribution for this series on time series ;-))
\nhttps://www.kaggle.com/drscarlat/anomaly-detection-in-multivariate-time-series

", "votes": null, "replies": [] }, { "id": 481533, "author_name": "yhuang2018", "author_url": "", "post_date": "03/01/2019 14:21:00", "content": "

Thanks!

", "votes": null, "replies": [] }, { "id": 650171, "author_name": "tiannnn", "author_url": "", "post_date": "10/16/2019 06:50:11", "content": "

Thanks for sharing @theoviel. How would model accuracy be continuously monitored/validated for a real-world application?\nDo domain experts label theses anomalies manually?

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "444000": "Here are some stuff I found, looking for anomaly detection/predictive maintenance with time series analysis. Hopefully some of these can be useful. \n\n- Long Short Term Memory Networks for Anomaly Detection in Time Series :\n> https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2015-56.pdf\n\n- Novelty Detection in Time Series Data using Ideas from Immunology :\n> https://pdfs.semanticscholar.org/2ef7/a7225f60dc2bc3df6cbfd91194ee437666ef.pdf\n\n- Anomaly Detection in Predictive Maintenance with Time Series Analysis :\n> https://www.kdnuggets.com/2015/12/anomaly-detection-predictive-maintenance-time-series-analysis.html", "481533": "Thanks!", "650171": "Thanks for sharing @theoviel. How would model accuracy be continuously monitored/validated for a real-world application?\nDo domain experts label theses anomalies manually?", "1215720": "Thanks for sharing the resources.\nHere's my contribution for this series on time series ;-))\nhttps://www.kaggle.com/drscarlat/anomaly-detection-in-multivariate-time-series" }, "source": "meta" }