PROBABILISTIC MATCHING METHOD FOR ENHANCED DATA INTEGRATION
Keywords:
Probabilistic Matching, Record Linkage, Data Integration, Attribute Weighting, Match Probability, Threshold Rule, Data Matching Algorithm, Duplicate Detection, Entity Resolution.Abstract
This article provides a comprehensive overview of probabilistic matching, a data integration technique that enables accurate record linkage between diverse data sources. The probabilistic approach enhances flexibility, accounts for real-world data inconsistencies, and minimizes manual intervention in linking processes. The paper explores key mechanisms such as attribute weighting, match probabilities, threshold decision-making, and iterative refinement for efficient data matching in automated systems.
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