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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
Deep Feature Synthesis: Towards Automating Data Science Endeavors	Jan 1, 2015	Automated Feature Engineering	CodeCode Available
AutoLearn - Automated Feature Generation and Selection	Nov 17, 2017	Automated Feature EngineeringFeature Engineering	CodeCode Available
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs	Sep 3, 2019	Automated Feature EngineeringFeature Engineering	CodeCode Available
Solving the "false positives" problem in fraud prediction	Oct 20, 2017	Automated Feature EngineeringFeature Engineering	CodeCode Available
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering	Feb 11, 2020	Automated Feature EngineeringFeature Engineering	CodeCode Available

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