Toleranssialgoritmi
Toleranssialgoritmi, also known as tolerance algorithms or fuzzy matching algorithms, are computational techniques designed to handle data that contains minor variations, inconsistencies, or imperfections. These algorithms are particularly useful in scenarios where exact matches are rare or impractical due to human error, different naming conventions, or variations in data entry. Tolerance algorithms assess the similarity between data points based on predefined criteria rather than requiring an exact match.
One common application of tolerance algorithms is in data cleaning and deduplication processes, where they help
Tolerance algorithms are widely used in databases, information retrieval systems, and natural language processing. They enable
While tolerance algorithms enhance flexibility and robustness, they also introduce challenges, such as false positives (incorrectly