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Industrial and Applications PaperParallel Duplicate Detection in Adverse Drug Reaction Databases with Spark Chen WangSarvnaz KarimiCSIRO Sydney, AustraliaCSIRO Sydney, Australian. Wang Cairo.ausarvnaz.
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Parallel duplicate detection is a process used to identify and eliminate duplicate records or entries in a database or system.
Any organization or individual that handles large volumes of data and wants to ensure data quality may be required to file parallel duplicate detection.
To fill out parallel duplicate detection, one typically needs to use software or algorithms that can compare data entries and identify duplicates.
The purpose of parallel duplicate detection is to improve data accuracy, reduce redundancy, and enhance overall data quality.
The information that must be reported on parallel duplicate detection includes the types of data being compared, the criteria for identifying duplicates, and the actions taken to resolve duplicates.
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