SYSTEM AND METHODS FOR DATA INTERCONNECTIONS IN A DATA ECOSYSTEM

Abstract: a method is disclosed for creating a representation of interconnections between datasets using machine learning. the system receives datasets, each having traits, stores the datasets into a catalog, and trains, via an iterative training and testing loop, a ml program utilizing a neural network to generate a trained predictive model, a training dataset utilized during the training of the ml program. the training includes inserting a target variable value and iteratively predicting the target variable via the iterative training and testing loop. the system deploys the model and predicts: (1) a common trait for a first and second dataset; (2) a representation of a first interconnection between the first and second dataset; and (3) a common trait for the second dataset and a third dataset. the system generates a representation of the second interconnection, comprising a second value, displaying a governance graph depicting the first interconnection and the second interconnection.

Inventor(s): Scott Howard Magoon, Tufail Ahmed Khan, Di Hu

CPC Classification: G06N3/08 (Learning methods)

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