Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning

Jianyu Zhang
Jianyu Zhang
Françoise Fogelman-Soulié
Françoise Fogelman-Soulié

Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 818-829, 2020.

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Abstract:

Feature Engineering (FE) is one of the most beneficial, yet most difficult and time-consuming tasks of machine learning projects, and requires strong expert knowledge. It is thus significant to design generalized ways to perform FE. The primary difficulties arise from the multiform information to consider, the potentially infinite number ...More

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