Detecting Fraud with Graph Analytics

What this episode covers

This podcast explores how Neo4j and the GRANDstack can be used to uncover anomalies, inconsistencies, and fraudulent behavior within complex datasets. It discusses data mining techniques, graph analytics, and practical approaches to identifying hidden patterns and risks. Perfect for data scientists, developers, analysts, and professionals interested in fraud detection and advanced data intelligence.

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Frequently Asked Questions

How long is this episode of Cajun Nola Coffee?

This episode is 57 minutes long.

When was this Cajun Nola Coffee episode published?

This episode was published on March 4, 2020.

What is this episode about?

This podcast explores how Neo4j and the GRANDstack can be used to uncover anomalies, inconsistencies, and fraudulent behavior within complex datasets. It discusses data mining techniques, graph analytics, and practical approaches to identifying...

Can I download this Cajun Nola Coffee episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.