IBM Research - Ireland's Cognitive Data Science team are working on a project called "One Button Machine" for automated feature engineering.
A key step in data science projects is the transformation of raw data into features that can be used as inputs for machine learning models. Often the raw data are stored across various tables in a relational database and need to be combined in various ways. This process is called feature engineering. Besides data curation, this is the most tedious and time-consuming data science task.

In our One Button Machine project, we build a system which automates the feature engineering process at the “push of a button”. The One Button Machine traverses the graph defined by the entities (tables) and relations (primary/foreign keys) of a relational database. Along the graph traversal, the One Button Machine computes aggregate features that can be used as input for machine learning models.

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