Learning Feature Engineering for Classification

@inproceedings{Nargesian2017LearningFE,
  title={Learning Feature Engineering for Classification},
  author={F. Nargesian and Horst Samulowitz and Udayan Khurana and Elias Boutros Khalil and D. Turaga},
  booktitle={IJCAI},
  year={2017}
}
Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space. Existing approaches to automate this process rely on either transformed feature space exploration through evaluation-guided search, or explicit expansion of datasets with all transformed features followed by feature selection. Such approaches incur high computational costs in runtime and/or memory. We present a novel technique, called Learning Feature Engineering (LFE… Expand
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