The Development and Implementation of the Data-Binding Algorithm in the State Civil Information System


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This paper describes the development of a data-binding algorithm. The algorithm is based on a variant of the adaptive record similarity measure (ARSM). Optimization of this variant for solving the problem of data binding is carried out using a machine-learning algorithm. The approach to estimating the adequacy of ARSM for data binding consists in introduction and automated selection of the threshold values by the machine-learning algorithm, which is achieved by introducing the fitness function representing the modification Fmeasure.

作者简介

D. S”edin

Center for Information Technologies and Systems of Executive Bodies

编辑信件的主要联系方式.
Email: syedin@inevm.ru
俄罗斯联邦, Moscow, 123557

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