RECONSTRUCTING PRIMARY INFORMATION FROM SECONDARY INFORMATION11/21
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By applying a type of feature engineering known as backwards construction, data scientists can actively recover the features originally used to construct a piece of information. Some of the new, recommended tools for doing so are graph databases or knowledge graphs, both able to model how often datapoint features interact or how a single feature interacts across a database. The goal? To utilize the secondary digraph – and, potentially, parts of the primary digraph – to extract useful information and features about the primary digraph that were previously unknown. Read More...