What is Fuzzy Matching, and Why is it Important?

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The Fuzzy Matching technique in computer science helps identify two elements of text strings that are similar but not precisely the same. In other words, it determines the degree of closeness of two different strings.

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Fuzzy matching works by combining certain general notions from fuzzy logic and mathematics with a special recursive piecewise function meant to calculate something called the Levenshtein distance between two given strings.

How does fuzzy matching work?

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The difference between an exact matching and a fuzzy matching should be easily deducible from what we have already discussed.

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What is the difference between exact matching and fuzzy matching?

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Fuzzy matching can certainly be a very powerful tool. When used properly, it can organize databases, correct spelling mistakes, refine search results, sequence genetic information, and even detect financial fraud.

Is fuzzy matching good?

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Yes. Machine learning involves the crafting of algorithms that allow computers to take in certain kinds of data and thereby gradually improve their ability to perform certain specified tasks.

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Is fuzzy matching related to machine learning?

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