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(De-Identified) Record Linkage

(De-Identified) Record Linkage. Dongqiuye Pu , Ashraf Farrag , Javed Mostafa. Background. Identify duplicates in a file or across files AKA: Object identification, data cleaning, entity resolution, etc…. Motivation. Lack of unique identifiers Variations of spelling, misspelling , typo….

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(De-Identified) Record Linkage

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  1. (De-Identified) Record Linkage DongqiuyePu, AshrafFarrag, JavedMostafa

  2. Background • Identify duplicates in a file or across files • AKA: Object identification, data cleaning, entity resolution, etc….

  3. Motivation • Lack of unique identifiers • Variations of spelling, misspelling, typo…

  4. For Instance… (A) (B)

  5. Methods In a Nutshell • Deterministic matching: straightforward, no human review needed, but suffer low recall • Approximate matching: harder to implement, human review needed, higher recall

  6. Research Plan • Exact matching • Fuzzy matching for the rest

  7. Evaluating accuracy of anonymous record linkage • Evaluate collision rate of hashing algorithm (most likely will be ZERO)

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