no code implementations • 21 Sep 2017 • Udayan Khurana, Horst Samulowitz, Deepak Turaga
It involves the transformation of given feature space, typically using mathematical functions, with the objective of reducing the modeling error for a given target.
no code implementations • IJCAI 2017 2017 • Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak Turaga
Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space.
no code implementations • ICDMW 2016 2016 • Udayan Khurana, Deepak Turaga, Horst Samulowitz, Srinivasan Parthasrathy
In this paper, we present a novel system called "Cognito", that performs automatic feature engineering on a given dataset for supervised learning.
no code implementations • NIPS 2016 2016 • Udayan Khurana, Fatemeh Nargesian, Horst Samulowitz, Elias Khalil, Deepak Turaga
Feature Engineering is the task of transforming the feature space in a given learning problem to improve the performance of a trained model.