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Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
A stable matching always exists, and the algorithmic problem solved by the Gale–Shapley algorithm is to find one. [3] The stable matching problem has also been called the stable marriage problem, using a metaphor of marriage between men and women, and many sources describe the Gale–Shapley algorithm in terms of marriage proposals. However ...
The National Resident Matching Program (NRMP), also called The Match, [1] is a United States–based private non-profit non-governmental organization created in 1952 to place U.S. medical school students into residency training programs located in United States teaching hospitals. Its mission has since expanded to include the placement of U.S ...
The match for entry level (R-1) postgraduate positions is CaRMS' largest match. It encompasses all 17 Canadian medical schools and is offered in two iterations each year. The first iteration includes all graduating students and prior year graduates from Canada and the US who meet the basic eligibility criteria and have no prior postgraduate training in Canada or the
Since then, NMS has implemented Matching Programs in a number of industries and professions, including osteopathic medicine, psychology, dentistry, pharmacy, and optometry. [1] NMS is headquartered in Toronto. Matching Programs place applicants into positions based on lists of preferred choices submitted by applicants and recruiters.
The algorithm will determine, for any instance of the problem, whether a stable matching exists, and if so, will find such a matching. Irving's algorithm has O(n 2) complexity, provided suitable data structures are used to implement the necessary manipulation of the preference lists and identification of rotations.
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Data re-identification or de-anonymization is the practice of matching anonymous data (also known as de-identified data) with publicly available information, or auxiliary data, in order to discover the person to whom the data belongs. [1]
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