Given two schemas S and T where S has 10 Tables and 45 elements while T has only one Table with 4 attributes. How many machine learning classifiers do you need to train in order to match elements in the two schemas?
Given two schemas S and T where S has 10 Tables and 45 elements while T has only one Table with 4 attributes. How many machine learning classifiers do you need to train in order to match elements in the two schemas?
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Given two schemas S and T where S has 10 Tables and 45 elements while T has only one Table with 4 attributes. How many machine learning classifiers do you need to train in order to match elements in the two schemas?
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