Learning About Data Relationships (LADR) is Structured Data's high performance solution for learning the structure of Bayesian networks. It is optimized, flexible, and scalable for today's computing environments:
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even a commodity PC shows the incredible speed and efficiency of our solution:
- Bayesian networks containing tens of thousands of variables evaluated at a rate of millions per minute
- Bayesian networks in excess of 1 Million variables easily supported
- simple to learn and easy to use
- algorithms used provide near-perfect scaling on multiple compute elements
- adaptable and customizable to any application
Our structure learning solution addresses the challenges of finding related elements in large datasets. These challenges are present in multiple industries and business settings.
>> Learn more about LADR as a solution to these challenges
>> Evaluate LADR with your data
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