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A Interaction between Record Matching and Data Repairing Wenfei Fan, University of Edinburgh, and SKLSDE Lab, Beihang University Shuai Ma, SKLSDE Lab, Beihang University Nan Tang, QCRI Wenyuan Yu, University of EdinburghCentral to a data cleaning system are record matching and data repairing. Matching aims to identify tuples that refer to the same realworld object, and repairing is to make a database consistent by fixing errors in the data by using integrity constraints. These are typically...
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01
Gather all the records that need to be matched.
02
Identify the key fields that will serve as matching criteria (e.g., name, ID number).
03
Determine the matching criteria - this could be exact matches, fuzzy matches, or specific algorithms.
04
Use a record-matching tool or software to input the records.
05
Configure the tool: set parameters for matching, such as thresholds for similarity.
06
Run the matching process to find potential matches.
07
Review the output to verify the accuracy of matches.
08
Resolve any discrepancies and confirm the final matched records.
09
Document the matching process for future reference.

Who needs interaction between record matching?

01
Organizations managing large datasets, like healthcare providers for patient records.
02
Marketing departments looking to merge customer databases.
03
Financial institutions needing to verify customer identities.
04
Data analysts conducting data quality assessments.
05
Any business that needs to consolidate information from multiple sources.
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Interaction between record matching refers to the process of comparing and aligning data from different sources to ensure accuracy and consistency. This involves identifying matching records based on defined criteria.
Organizations or entities that handle large datasets and need to ensure data integrity are typically required to file interaction between record matching. This can include businesses, governmental agencies, and institutions that manage sensitive information.
To fill out interaction between record matching, one must collect relevant datasets, define matching criteria, use data matching tools or algorithms, and document the process and results to ensure compliance with reporting requirements.
The purpose of interaction between record matching is to improve data quality, enhance decision-making, and ensure compliance with regulations by ensuring that records are accurate and consistent across different systems.
The information that must be reported includes the method of matching used, the criteria for matching records, results of the matching process, any discrepancies identified, and the actions taken to resolve these discrepancies.
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