LEVINSTEIN'S ALGORITHM FOR COMPARING RECORDS

Abstract

"Levenshtein's Algorithm for Record Comparison" serves as a fundamental tool
in the realm of data processing and management, enabling efficient comparison of textual
records within databases. This paper provides an overview of the Levenshtein algorithm's
principles and its practical application in record comparison tasks. The algorithm's ability
to measure the similarity between two strings by calculating the minimum number of edit
operations required for their transformation is highlighted. Moreover, the paper discusses
implementation strategies for integrating the Levenshtein algorithm into database systems
and programming languages, emphasizing its effectiveness in real-world scenarios.
Additionally, considerations regarding performance, scalability, and potential challenges in
utilizing the algorithm for large-scale record comparison are addressed. Through a
comprehensive exploration of Levenshtein's Algorithm, this paper underscores its significance
in facilitating accurate and efficient record comparison processes, thereby contributing to
enhanced data quality and analysis capabilities.