Extract the next new anonaly in a dataset
Triggers with the next new anomaly detected in a dataset using Isolation Forest.
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In detail
What it does and what it's for
Automating tasks with Anomaly Detection enables you to efficiently identify unusual patterns in your datasets. This integration facilitates anomaly detection, optimizing processes and enhancing decision-making.
With this tool, you can set up triggers that analyze your data for irregularities, allowing you to respond promptly to any significant deviations. Simplify your data monitoring and maintain full control over the quality and consistency of your information.
Setup
Customization options
Fields you can adjust when using it in your automation.
Output data
Information provided
When executed, this operation delivers the following data, which can be used in the same automatic task.
Tags
- Train duration in seconds {{train_duration}}
- Anomalies Dataset URL {{url_anomalies_dataset}}
- Total number of instances {{total_instances}}
- Total number of anomalies {{total_anomalies}}
Learn by watching
Video tutorials
Short videos where you watch a real task being built from start to finish.
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