Pattern recognition within Relavance

When ingesting data all datastreams are automatically associated AND by default patterns are defined on database level.

We call a set of associations a pattern. Patterns can be tagged, saved, retrieved, etc. There can be a pattern of patterns. The new pattern data (the new information) is added to the Relavance database.

This means that the database has learned: Machine learning.

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Example: Pattern recognition within Finance

Patterns can be used for identifying which data is subject to e.g. Suspicious Activity (SAR), Fraud detection, etc. 

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For more public information about our worldwide patented pattern recognition see this patent link to the USPTO (US patent office)