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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL.23, NO. 5, May 2011 1 Discovering Conditional Functional Dependencies Weighed Fan, Flores Gets, Jiangling Li, Ming XING Abstractions paper
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How to fill out discovering conditional functional dependencies

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First, start by gathering the necessary data. This typically involves collecting a set of attributes or columns from a database or dataset.
02
Next, analyze the data to identify any potential dependencies. Look for patterns or relationships between the different attributes. This could include attributes that consistently co-occur or ones that can determine the values of other attributes.
03
Utilize the discovery algorithm or approach of your choice to uncover conditional functional dependencies. This may involve running certain queries or algorithms on the data.
04
Document the discovered conditional functional dependencies. Clearly note which attributes are dependent on others and the conditions under which these dependencies hold true.
05
Validate the discovered dependencies by testing them on additional data or through other means of verification. This step ensures the accuracy and reliability of the discovered dependencies.

Who needs discovering conditional functional dependencies?

01
Database administrators: Discovering conditional functional dependencies is crucial for maintaining accurate and efficient database systems. Database administrators often rely on these dependencies to design appropriate schema, optimize query performance, and ensure data integrity.
02
Data analysts and scientists: Understanding conditional functional dependencies helps in data exploration and analysis. Data analysts and scientists can utilize the discovered dependencies to identify patterns, make predictions, and gain insights from the underlying data.
03
Data engineers: Discovering conditional functional dependencies is essential for data integration and data transformation processes. Data engineers use these dependencies to design efficient data pipelines, extract relevant information, and establish relationships between different data sources.
In summary, filling out discovering conditional functional dependencies involves gathering data, analyzing it, applying discovery algorithms, documenting the dependencies, and validating their accuracy. This process is crucial for various professionals, including database administrators, data analysts, scientists, and data engineers.
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Conditional functional dependencies are dependencies that hold on the records of a relation R, but only under certain conditions.
Any entity or individual that collects, uses, stores, or processes data subject to conditional functional dependencies.
Discovering conditional functional dependencies involves analyzing data and determining the conditions under which certain dependencies hold.
The purpose of discovering conditional functional dependencies is to ensure data integrity and optimize data storage.
Information on the specific data attributes and conditions that define the functional dependencies.
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