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Automated Feature Engineering

Automated feature engineering improves upon the traditional approach to feature engineering by automatically extracting useful and meaningful features from a set of related data tables with a framework that can be applied to any problem.

Papers

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Showing 41–46 of 46 papers

Title	Date	Tasks	Status
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science	Mar 20, 2016	Automated Feature EngineeringAutoML	CodeCode Available
Automating Feature Engineering	Jan 1, 2016	Automated Feature EngineeringFeature Engineering	—Unverified
ExploreKit: Automatic Feature Generation and Selection	Jan 1, 2016	Automated Feature EngineeringBIG-bench Machine Learning	CodeCode Available
Cognito: Automated Feature Engineering for Supervised Learning	Jan 1, 2016	Automated Feature EngineeringFeature Engineering	—Unverified
Deep Feature Synthesis: Towards Automating Data Science Endeavors	Jan 1, 2015	Automated Feature Engineering	CodeCode Available
Feature Selection as a One-Player Game	May 17, 2010	Automated Feature Engineeringfeature selection	—Unverified

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