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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Enhanced ER Model

The enhanced ER model is an abbreviation for Enhanced Entity-Relationship (EER) model. As you know, the entity-relationship (ER) model is a pictorial illustration of the relationship between various entities of a domain. In the case of a large amount of data with multiple interrelated entities, the ER diagrams become complex and tough to interpret. For such cases, the need for enhancement in the ER model was observed, and thus, the EER model was designed.

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