Analyst Insight: As supply chains become more data-driven, two often overlooked technologies, “fuzzy logic” and “fuzzy matching,” are quietly shaping how companies make smarter decisions. Bypass the ...

We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...

In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

Accurate identity verification is essential in today's digital spaces, where our personal information is often just a click away. With identity theft and fraud on the rise, ensuring that individuals ...

Emulates the methods the US Census Bureau uses to link people across multiple data sources, using open-source software (Splink) and simulated data (from pseudopeople).

According to wikipedia fuzzy matching is a technique used in computer-assisted translation as a special case of record linkage. It works with matches that may be less than 100% perfect when finding ...

Abstract: This paper proposes a new double-private protocol for fuzzy matching and c-fuzzy matching. Many works have been done for private database search in which the keyword that a user inputs for ...

Abstract: This paper studies some fuzzy schemes that can be applied in matching algorithms. A fuzzy matching algorithm is constructed by applying the fuzzy commitment technique on unary numerical ...