Matchcode Optimization:Overlap Coefficient
Overlap Coefficient
Specifics
Summary
Like Jaro or Dice, counts matching n-Grams (discarding duplicate NGRAMs), but uses a slightly different calculation weighted towards the smaller of the two strings being compared.
Returns
Percentage of similarity
Union/MinNumNGrams
Where union is defined as the number of matching NGAMS found
Where minNumNGrams is defined as the smallest number of possible NGRAMS of the two strings
NGRAM is defined as the size of the substring to search for within a string (default is 2).
Example Matchcode Component
Example Data
STRING1 STRING2 RESULT Johnson Jhnsn Unique Neumon Pneumon Match Found Maytown Hs Maytown Public Schools Match Found Rober Roberts Match Found
| Performance | |||||
|---|---|---|---|---|---|
| Slower | Faster | ||||
| Matches | |||||
| More Matches | Greater Accuracy | ||||
Recommended Usage
Hybrid deduper, where a single incoming record can quickly be evaluated independently against each record in an existing large master database.
Databases created with abbreviations or similar word substitutions.
Not Recommended For
Large or Enterprise level batch runs. Since the algorithm must be evaluated for each record comparison, throughput will be very slow.
Databases created via real-time data entry where audio likeness errors are introduced.
Do Not Use With
UTF-8 data. This algorithm was ported to MatchUp with the assumption that a character equals one byte, and therefore results may not be accurate if the data contains multi-byte characters.