Anomaly detection

[Amit_Thombre]

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.

[richcollier]

There's a fair amount of written information available:

Book on Elastic ML:

The definitive guide

• For sale on packt: Search | Packt Subscription

• For sale on Amazon: https://www.amazon.com/Rich-Collier/e/B07NF94RDQ

• Register for free e-Book: Digital book download: Machine Learning with the Elastic Stack - Second Edition

Recent ML Webinars

• Elastic Events and Virtual Events for Elasticsearch and ELK Stack Users | Elastic

• “Machine Learning with the Elastic Stack” book preview - Part 2: Data Frame Analysis | Elastic Videos

Public ML Blogs:

• (Alerting on Machine Learning Jobs in Elasticsearch | Elastic Blog)

• (Machine Learning Anomaly Scoring and Elasticsearch - How it Works | Elastic Blog)

• (Custom Elasticsearch Aggregations for Machine Learning Jobs | Elastic Blog)

• (Scheduled Events and the Amorous Anomaly | Elastic Blog)

• (Filtering Input Data to Refine Machine Learning Jobs | Elastic Blog)

• (How to Capture Domain Knowledge in Elastic Machine Learning Jobs with Custom Rules | Elastic Blog)

• (Temporal vs. Population Analysis in Elastic Machine Learning | Elastic Blog)

• (Elastic Machine Learning Anomaly Scoring with Partition Normalization and Multi-Bucket Analysis | Elastic Blog)

• (Import CSV and Log Data into Elasticsearch from Kibana with File Data Visualizer | Elastic Blog)

• (Interpreting multi-bucket impact anomalies using Elastic machine learning features | Elastic Blog)

• (Using machine learning in the Elastic Stack to analyze Meetup data | Elastic Blog)

• (Catching malware with Elastic outlier detection | Elastic Blog)

• (Elastic machine learning outlier detection benchmarking | Elastic Blog)

• (Interpretability in machine learning: Identifying anomalies, influencers, and root causes | Elastic Blog)

See What Users Are Asking Questions About:

• ML on discuss.elastic.co (Topics tagged elastic-stack-machine-learning)

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

30 Min Meetup w/ Steve Dodson:

Machine Learning in the Elastic Stack

2017 ElasticON:

Elasticsearch Machine Learning and Statistical Methods for Time Series Analysis

2018 ElasticON:

The Math Behind Elastic Machine Learning