International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 10 | Views: 186 | Weekly Hits: ⮙1 | Monthly Hits: ⮙11

Comparative Studies | Computer Science and Information Technology | India | Volume 12 Issue 8, August 2023


Enhancing Data Accuracy and Efficiency: An Overview of Fuzzy Matching Techniques

Jahnavi Kalluru


Abstract: Fuzzy matching, also known as approximate string matching, is a powerful technique designed to improve data accuracy and efficiency by identifying and linking strings that exhibit partial similarity. Unlike traditional exact matching, which requires precise character - by - character agreement, fuzzy matching accounts for typographical errors, misspellings, and variations, allowing for a more flexible comparison. This paper presents an overview of fuzzy matching techniques and their applications across diverse domains. We delve into the core concepts of various algorithms, including Levenshtein distance, Jaccard similarity, soundex, and metaphone, exploring how each method quantifies the similarity between strings. The paper highlights their strengths and use cases in data cleaning, deduplication, information retrieval, natural language processing, record linkage, and named entity recognition.


Keywords: Fuzzy matching, approximate string matching, data accuracy, efficiency, partial similarity


Edition: Volume 12 Issue 8, August 2023,


Pages: 685 - 690


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top