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Found 5 papers, 3 papers with code
FairEM360: A Suite for Responsible Entity Matching
Entity matching is one the earliest tasks that occur in the big data pipeline and is alarmingly exposed to unintentional biases that affect the quality of data.
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
Entity matching (EM) is a challenging problem studied by different communities for over half a century.
Pylon: Semantic Table Union Search in Data Lakes
The large size and fast growth of data repositories, such as data lakes, has spurred the need for data discovery to help analysts find related data.
Learning Feature Engineering for Classification
Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space.
Automating Feature Engineering
Feature Engineering is the task of transforming the feature space in a given learning problem to improve the performance of a trained model.
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