Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...

Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...

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 ...

Accurate linking of an individual's medical records from disparate sources within and between health systems, known as patient matching, plays a critical role in patient safety and quality of care, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a report published today by the National Institutes of Science and ...