We propose a deep Siamese neural network that learns a similarity measure tailored to a dataset, eliminating manual feature engineering. We also show that knowledge transfer …
Our system uses automatically discovered MDs, dataset features, and known gold standards to train a model that selects MDs as duplicate detection rules.
We propose the first workflow that systematically integrates data preparation operations before duplicate detection, improving AUC-PR by up to 19%.
In this paper, we study the problem of matching records that contain address information, including attributes such as Street-address and City. To facilitate this matching process …