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Anomaly Detection

Predikly Nugene Anomaly Detection in the data

Top Benefits

  • Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances.

This bot is used to detect the anomalies in data provided into the template using Predikly Nugene Cloud API.

- Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. - It is often used in preprocessing to remove anomalous data from the dataset. - In supervised learning, removing the anomalous data from the dataset often results in a statistically significant increase in accuracy.

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Free

Applications
Business Process
Category
Security
Passed third-party anti-virus scan conducted by Automation Anywhere.
Downloads
30
Vendor
Automation Type
Bot
Last Updated
September 11, 2019
First Published
September 11, 2019
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Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

That's it - now the Bot is ready to get going!

Requirements and Inputs

  • - Automation Anywhere Enterprise v11.3 (https://www.automationanywhere.com)
    Inputs: - The number of epochs to train the model. Example -1,5,8…etc. - CSV file with data - Sigma multiplier to tag Anomalies.Example- 2,2,5,3..etc