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? Explain how to get the training data for training one of these classifiers.
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? Explain how to get the training data for training one of these classifiers.
Fundamentals of Information Systems
8th Edition
ISBN:9781305082168
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter8: Systems Development
Section: Chapter Questions
Problem 8SAT: Data modelling is most often accomplished through the use of a(an) ________________. a....
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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? Explain how to get the training data for training one of these classifiers.
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