Risk modeling system

作者: Richard Vlasimsky , Matt Rosauer

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摘要: A system including a general-purpose decision support and making predictive analytics engine that is able to find patterns in many types of digitally represented data. Given data represents random collection points, the finds these internal employing an inductive principle called structural risk minimization separates points with maximum margin. Internal initial are inductively determined by separate model based on then generated, used new generate predictions evaluating for similarities model. The implemented facilitate processes. Special features provided validate incoming data, preprocess monitor improve integrity modeling results. Results delivered users reporting capability facilitates processes inherent business enterprise.

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