# Anomaly detection

**URL:** <https://discuss.elastic.co/t/anomaly-detection/309098>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [July 7, 2022, 10:22am UTC](https://discuss.elastic.co/t/anomaly-detection/309098 "2022-07-07T10:22:25Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Amit\_Thombre](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/amit_thombre/32/98091_2.png) [@Amit\_Thombre](https://discuss.elastic.co/u/Amit_Thombre)\
**Post date:** [July 7, 2022, 10:22am UTC](https://discuss.elastic.co/t/anomaly-detection/309098/1 "2022-07-07T10:22:25Z")

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We are trying to use anomaly detection from Machine Learning. But very little information is available on the internet regarding it. Can you please help us with the following?

Details of anomaly detection algorithm, which algorithm is getting used, how does it work etc?

1. Also how is the severity calculated?
2. What are the typical values in the anomalies displayed?
3. Which algorithm gets used for detecting anomalies in univariate time series?

Any document throwing light on the above documents will help.

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**Author:** ![richcollier](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/richcollier/32/115035_2.png) [@richcollier](https://discuss.elastic.co/u/richcollier)\
**Post date:** [July 8, 2022, 2:14am UTC](https://discuss.elastic.co/t/anomaly-detection/309098/2 "2022-07-08T02:14:23Z")

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There's a fair amount of written information available:

## Book on Elastic ML:

The definitive guide

- For sale on packt: [https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-elastic-stack](https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-elastic-stack)

- For sale on Amazon: [https://www.amazon.com/Rich-Collier/e/B07NF94RDQ](https://www.amazon.com/Rich-Collier/e/B07NF94RDQ?ref_=dbs_p_pbk_r00_abau_000000)

- Register for free e-Book: [https://events.elastic.co/machinelearningwithelastic](https://events.elastic.co/machinelearningwithelastic)

## Recent ML Webinars

- [Elastic Events and Virtual Events for Elasticsearch and ELK Stack Users | Elastic](https://www.elastic.co/virtual-events/machine-learning-book-preview-part-1-anomaly-detection)

- [“Machine Learning with the Elastic Stack” book preview - Part 2: Data Frame Analysis | Elastic Videos](https://www.elastic.co/virtual-events/machine-learning-book-preview-part-2-data-frame-analysis)

## Public ML Blogs:

- ([Alerting on Machine Learning Jobs in Elasticsearch | Elastic Blog](https://www.elastic.co/blog/alerting-on-machine-learning-jobs-in-elasticsearch-v55))

- ([Machine Learning Anomaly Scoring and Elasticsearch - How it Works | Elastic Blog](https://www.elastic.co/blog/machine-learning-anomaly-scoring-elasticsearch-how-it-works))

- ([Custom Elasticsearch Aggregations for Machine Learning Jobs | Elastic Blog](https://www.elastic.co/blog/custom-elasticsearch-aggregations-for-machine-learning-jobs))

- ([Elastic Blog: Stories, Tutorials, Releases | Elastic Blog](https://www.elastic.co/blog/scheduled-events-and-the-amorous-anomaly-elasticsearch-machine-learning))

- ([Filtering Input Data to Refine Machine Learning Jobs | Elastic Blog](https://www.elastic.co/blog/filtering-input-data-to-refine-machine-learning-jobs))

- ([https://www.elastic.co/blog/how-to-capture-domain-knowledge-in-elastic-machine-learning-jobs-with-custom-rules](https://www.elastic.co/blog/how-to-capture-domain-knowledge-in-elastic-machine-learning-jobs-with-custom-rules))

- ([Temporal vs. Population Analysis in Elastic Machine Learning | Elastic Blog](https://www.elastic.co/blog/temporal-vs-population-analysis-in-elastic-machine-learning))

- ([Elastic Machine Learning Anomaly Scoring with Partition Normalization and Multi-Bucket Analysis | Elastic Blog](https://www.elastic.co/blog/changes-to-elastic-machine-learning-anomaly-scoring-in-6-5))

- ([Import CSV and Log Data into Elasticsearch from Kibana with File Data Visualizer | Elastic Blog](https://www.elastic.co/blog/importing-csv-and-log-data-into-elasticsearch-with-file-data-visualizer))

- ([Interpreting multi-bucket impact anomalies using Elastic machine learning features | Elastic Blog](https://www.elastic.co/blog/interpreting-multi-bucket-impact-anomalies-using-elastic-machine-learning-features))

- ([Using machine learning in the Elastic Stack to analyze Meetup data | Elastic Blog](https://www.elastic.co/blog/using-elastic-machine-learning-to-analyze-meetup-data))

- ([Catching malware with Elastic outlier detection | Elastic Blog](https://www.elastic.co/blog/catching-malware-with-elastic-outlier-detection))

- ([Elastic machine learning outlier detection benchmarking | Elastic Blog](https://www.elastic.co/blog/benchmarking-outlier-detection-in-elastic-machine-learning))

- ([Interpretability in machine learning: Identifying anomalies, influencers, and root causes | Elastic Blog](https://www.elastic.co/blog/interpretability-in-ml-identifying-anomalies-influencers-root-causes))

## See What Users Are Asking Questions About:

- ML on [discuss.elastic.co](http://discuss.elastic.co) ([Topics tagged elastic-stack-machine-learning](https://discuss.elastic.co/tag/elastic-stack-machine-learning))

## Background on “How it works” or the “Math behind ML":

30 Min Meetup w/ Steve Dodson:

![](https://us1.discourse-cdn.com/elastic/optimized/3X/f/5/f50701bc99d2a6ac2c281e41f1c10c3ebcd11c98_2_690x388.jpeg)https://www.youtube.com/embed/n6xW6YWYgs0?feature=oembed&wmode=opaque

2017 ElasticON:

> **[Elasticsearch Machine Learning and Statistical Methods for Time Series Analysis](https://www.elastic.co/elasticon/conf/2017/sf/machine-learning-and-statistical-methods-for-time-series-analysis)**
>
> Machine learning now in beta. Register now for the upcoming webinar, overview demo, and live Q&A.
> In this talk, Steve and Tom will present a deep algorithmic dive into the new machine learning technol...

2018 ElasticON:

> **[The Math Behind Elastic Machine Learning](https://www.elastic.co/elasticon/conf/2018/sf/the-math-behind-elastic-machine-learning)**
>
> Machine learning functionality is being added to our products in the form of shrink-wrapped applications. We began by focusing on time series anomaly detection, which required the ability to predict w...

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<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [August 5, 2022, 2:15am UTC](https://discuss.elastic.co/t/anomaly-detection/309098/3 "2022-08-05T02:15:13Z")

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