{"title":"A Regularization-Based Method of Identification of Information Objects","authors":"S. I. Suyatinov, A. M. Khudyakov, M. S. Uvarova","doi":"10.3103/S0005105522060097","DOIUrl":null,"url":null,"abstract":"<div><h2>Abstract—</h2><div><p>This article considers the problem of identification of information objects whose attributes are represented by number and character sequences. It is shown that this problem is classified as ill-posed. A regularization method based on including a priori information about the probability of errors in descriptions of attributes of identification objects is proposed. Examples of the application of the proposed method to the problem of identification of individuals based on personal data are given. Tables of estimated error probabilities are compiled using statistical methods.</p></div></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105522060097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract—
This article considers the problem of identification of information objects whose attributes are represented by number and character sequences. It is shown that this problem is classified as ill-posed. A regularization method based on including a priori information about the probability of errors in descriptions of attributes of identification objects is proposed. Examples of the application of the proposed method to the problem of identification of individuals based on personal data are given. Tables of estimated error probabilities are compiled using statistical methods.
期刊介绍：
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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