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Clustering in graphic database management systems

Ogorodnikova Olga Viktorovna  (Senior Automation Engineer, Federal State Institution “Pre-Trial detention center No. 2” of the Office of the Federal Punishment Service of Russia in St. Petersburg and the Leningrad Region; Adjunct, Voronezh Institute of the Federal Penitentiary Service of Russia)

Dubrovin Anatolii Stanislavovich  (Doctor of Technical Sciences, Voronezh Institute of the Federal Penitentiary Service of Russia)

The purpose of the article is to study database management systems. Graphic databases are considered. Data Mining technology must be used in graph databases. In particular, the clustering method. The possibilities of graph DBMS Neo4j for the implementation of clustering methods are investigated.

Keywords:database management system, data mining, clustering method.

 

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Citation link:
Ogorodnikova O. V., Dubrovin A. S. Clustering in graphic database management systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№05. -С. 100-101 DOI 10.37882/2223–2966.2020.05.32
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