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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.
Example: Pattern recognition within Finance
Patterns can be used for identifying which data is subject to e.g. Suspicious Activity (SAR), Fraud detection, etc.
For more public information about our worldwide patented pattern recognition see this patent link to the USPTO (US patent office)
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