Efficient Entity Resolution with Adaptive and Interactive Training Data Selection
Entity resolution (ER) is the task of deciding which records in one or more databases refer to the same real-world entities. A crucial step in ER is the accurate classification of pairs of records into matches and non-matches. In most practical ER applications, obtaining training data %of high quality is costly and time consuming. Various techniques have been proposed for ER to interactively generate training data and learn an accurate classifier. We propose an approach for training data...[Show more]
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