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pro vyhledávání: '"Coelho, Aimee"'
We present an in-depth analysis of data discovery in data lakes, focusing on table augmentation for given machine learning tasks. We analyze alternative methods used in the three main steps: retrieving joinable tables, merging information, and predic
Externí odkaz:
http://arxiv.org/abs/2402.06282
