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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 Supervisors:
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Start by gathering all the data that needs to be checked for approximate duplicates.
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Integrating approximate duplicate detection is the process of identifying and eliminating duplicate records or information within a dataset or system.
Any individual or organization that manages a database or system with potentially duplicate data is required to file 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.
The purpose of integrating approximate duplicate detection is to ensure data integrity, improve data quality, and streamline data management processes.
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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