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Learning Functional Dependencies with Sparse Regression Ohioan Go, Theodore RekatsinasarXiv:1905.01425v1 cs.DB 4 May 2019ABSTRACT We study the problem of discovering functional dependencies (FD) from
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How to fill out learning functional dependencies with
How to fill out learning functional dependencies with
01
Start by identifying the set of attributes in the given relation.
02
List all the functional dependencies that hold in the relation. A functional dependency is a relationship between two sets of attributes such that the value of one set of attributes determines the value of another set of attributes.
03
Determine the closure of each attribute set. The closure of an attribute set is the set of all attributes that can be determined by the given attribute set.
04
Repeat steps 2 and 3 until no new attribute sets can be added to the closures.
05
Use the closure of each attribute set to determine the candidate key(s) of the relation.
06
Identify all non-trivial functional dependencies that do not violate the normalization rules.
07
Create the final list of functional dependencies for the relation.
Who needs learning functional dependencies with?
01
Learning functional dependencies is essential for database designers, administrators, and any professionals working with relational databases.
02
It helps in designing efficient database schemas, optimizing query performance, database normalization, and enforcing data integrity constraints.
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Understanding functional dependencies can also aid in identifying potential redundancy and anomalies in data, leading to better database design and data management.
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What is learning functional dependencies with?
Learning functional dependencies is typically done with a dataset.
Who is required to file learning functional dependencies with?
Any individual or organization working with data that involves functional dependencies.
How to fill out learning functional dependencies with?
You can fill out learning functional dependencies by identifying the attributes and relationships within a dataset.
What is the purpose of learning functional dependencies with?
The purpose of learning functional dependencies is to understand how different attributes in a dataset are related to each other.
What information must be reported on learning functional dependencies with?
The information reported on learning functional dependencies includes the attributes, dependencies, and relationships within a dataset.
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