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Integrating Approximate Duplicate Detection into Pentagon
Data IntegrationSlvia Castro Fernandes
Thesis to obtain the Master of Science Degree information Systems and Computer Engineering
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How to fill out integrating approximate duplicate detection

How to fill out integrating approximate duplicate detection
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Start by gathering all the data that needs to be checked for approximate duplicates.
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Map out the fields or attributes that will be used for determining duplicates.
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Review the results and take action on the identified duplicates according to the business rules or guidelines.
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Companies that deal with large volumes of data and want to maintain data quality.
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What is integrating approximate duplicate detection?
Integrating approximate duplicate detection is the process of identifying and eliminating duplicate records or information within a dataset or system.
Who is required to file integrating approximate duplicate detection?
Any individual or organization that manages a database or system with potentially duplicate data is required to file integrating approximate duplicate detection.
How to fill out integrating approximate duplicate detection?
Integrating approximate duplicate detection can be filled out by using software tools or by manually reviewing the data to identify duplicates and determine the best way to merge or remove them.
What is the purpose of integrating approximate duplicate detection?
The purpose of integrating approximate duplicate detection is to ensure data integrity, improve data quality, and streamline data management processes.
What information must be reported on integrating approximate duplicate detection?
The report on integrating approximate duplicate detection must include details on the duplicate records identified, actions taken to resolve the duplicates, and any updates made to the dataset.
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