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Probabilistic Data Matching and Deduplication Framework

fuzzy matching data cleaning deduplication similarity scoring
Prompt
Create an advanced SQL-based fuzzy matching algorithm for identifying and merging similar records with configurable similarity thresholds. Implement Levenshtein distance, trigram matching, and machine learning-inspired similarity scoring to handle complex data cleaning scenarios. Design a modular approach that can be applied across different data types and handle multilingual character sets.
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Pro
SQL
General
Mar 2, 2026

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