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Simple Fuzzy Match Example

This workflow reads in a series of misspelled retailer names, along with the desired version of the names. Using the Similarity Search node, the closest correctly spelled name is matched based on Levenshtein distance.

A simple workflow to demonstrate fuzzy matching using Levenshtein distance via the Similarity Search node. Misspelled namesCorrect namesLevenshteindistanceCounter for matchingJoin withcounter toreturn correctmatch Table Creator Table Creator Similarity Search Counter Generation Joiner A simple workflow to demonstrate fuzzy matching using Levenshtein distance via the Similarity Search node. Misspelled namesCorrect namesLevenshteindistanceCounter for matchingJoin withcounter toreturn correctmatch Table Creator Table Creator Similarity Search Counter Generation Joiner

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: ScottFincher
Created at: 2020-09-04
On NodePit since: 2023-01-24
Last update: 2024-05-01
Created with KNIME version: v4.2.1
Tags: Fuzzy MatchSimilarityLevenshtein

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