Matchcode Optimization:Consonants

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Matchcode Optimization Navigation
Matchcode Optimization
First Component
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Algorithms
Accunear
Alphas
Consonants
Containment
Dice's Coefficient
Double Metaphone
Exact
Fast Near
Frequency
Frequency Near
Jaccard Similarity Coefficient
Jaro
Jaro-Winkler
Longest Common Substring (LCS)
MD Keyboard
Needleman-Wunsch
N-Gram
Numeric
Overlap Coefficient
Phonetex
Smith-Waterman-Gotoh
Soundex
UTF8 Near
Vowels


Consonants

Specifics

Only consonants will be compared. Vowels will be removed. ‘Y’ is defined as a vowel in this algorithm.

Summary

This algorithm removes vowels from the string and compares two strings based on their consonants.

Returns

Returns a match if two strings’ consonants match exactly.

Example Matchcode Usage 1

Example Data 1

STRING1 STRING2 RESULT
Ron Doe Ron Doe67 Match
Lynda Dylan Unique
Tim Tom Match
Brian Ian Unique



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 via real-time data entry where audio likeness errors are introduced.

Databases of US and English language origin.

Not Recommended For

Database where disemvoweling was used to reduce storage space (https://en.wikipedia.org/wiki/Disemvoweling).

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.