Method And Technology For Applying A Semi-Structured Data Classification Model In A Corporate Information System

dc.contributor.authorAskaraliyev Odilbek Ulug‘bek o‘g‘li
dc.date.accessioned2026-01-01T10:47:30Z
dc.date.issued2024-12-22
dc.description.abstractA scheme for solving the problem of binary clustering of incoming data in the control system is proposed. Methods of sequential shortening and sequential merging of clusters, as well as the model of initial placement of clusters are considered. Estimating the number of clusters is given to solve the clustering problem. A binary clustering method has been proposed for points in a circle. Based on the results of the research, the clustering practice was performed and the developed model and algorithms were implemented
dc.formatapplication/pdf
dc.identifier.urihttps://zienjournals.com/index.php/tjet/article/view/5849
dc.identifier.uri10.62480/tjet.2024.vol39.pp40-44
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/60934
dc.language.isoeng
dc.publisherZien Journals
dc.relationhttps://zienjournals.com/index.php/tjet/article/view/5849/4769
dc.rightsCopyright (c) 2024 Askaraliyev Odilbek Ulug‘bek o‘g‘li
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceTexas Journal of Engineering and Technology; Vol. 39 (2024): TJET; 40-44
dc.source2770-4491
dc.subjectmanagement system
dc.subjectunstructured data
dc.subjectgeometric clustering
dc.titleMethod And Technology For Applying A Semi-Structured Data Classification Model In A Corporate Information System
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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