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Amazon Fraud Detector User Guide Version latest Amazon Fraud Detector User Guide Amazon Fraud Detector: User GuideCopyright 2020 Amazon Web Services, Inc. and/or its aliases. All rights reserved.
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How to fill out amazon fraud detector feature
How to fill out amazon fraud detector feature
01
To fill out the Amazon Fraud Detector feature, follow these steps:
02
Log in to your Amazon Fraud Detector account.
03
Click on 'Create detector' to start creating a new detector.
04
Provide a unique name and description for your detector.
05
Define the 'Model Version' for your detector, if applicable.
06
Specify the 'Detector Type', which can be either 'Online Fraud Detector' or 'Offline Fraud Detector'.
07
Choose the 'Event Type' that best suits your use case.
08
Configure the 'Variables' and 'Labels' for your detector.
09
Set up the 'Rule Editor' to define rules for fraud detection.
10
Define the 'Outcome' for each rule, which can be 'fraud', 'legitimate', or 'anomaly'.
11
Configure additional settings such as 'Batch Import' and 'Data Validation'.
12
Review and save your detector configuration.
13
Test your detector using sample data.
14
Publish your detector to make it active and ready for use.
15
Monitor and analyze the fraud detection results regularly to improve the accuracy of your detector.
16
Make necessary updates or modifications to your detector as needed.
17
Continuously evaluate and optimize the performance of your detector.
Who needs amazon fraud detector feature?
01
The Amazon Fraud Detector feature is useful for businesses that want to detect and prevent various types of fraud. It can be beneficial for:
02
- E-commerce platforms to identify fraudulent orders and protect their customers.
03
- Financial institutions to detect fraudulent transactions and activities.
04
- Online marketplaces to prevent the sale of counterfeit products.
05
- Insurance companies to detect fraudulent insurance claims.
06
- Gaming companies to identify cheating or fraudulent behavior.
07
- Any business or organization that wants to minimize the risks and losses associated with fraud.
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