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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30359
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dc.contributor.authorGrabusts, P.-
dc.date.accessioned2018-03-06T12:21:22Z-
dc.date.available2018-03-06T12:21:22Z-
dc.date.issued2018-
dc.identifier.citationGrabusts, P. Knowledge-based ontology concept for numerical data clustering / P. Grabusts // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 153 - 158.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/30359-
dc.description.abstractClassical clustering algorithms are sufficiently well studied, they are used for grouping numerical data in similar structures - clusters. Similar objects are placed in the same cluster, different objects in another cluster. All of the classic clustering algorithms have common parameters, and successful selection of which also determines the clustering result. The most important parameters characterizing clustering are: clus- tering algorithm, metrics, initial number of clusters, criteria for clustering accuracy. In recent years, there has been a tendency towards the possibility of obtaining rules from clusters. Classical clustering algorithms do not apply semantic knowledge. It creates difficulties in interpreting the results of clustering. Presently, the use of ontology opportunities is developing very rapidly, that allows to gain knowledge about a certain data model. The paper analyzes the concept of ontology and prototype development for numerical data clusterization, which includes the most significant indicators characterizing clusterization. The aim of the work is to develop a concept for analyzing clustering data with the help of ontologies. As a result of the work, a study has been conducted on the use of ontologies in this type of tasks.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectclusteringru_RU
dc.subjectcluster analysisru_RU
dc.subjectontologyru_RU
dc.titleKnowledge-based ontology concept for numerical data clusteringru_RU
dc.typeСтатьяru_RU
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