Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1820
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dc.contributor.authorPavković, Vesnaen
dc.contributor.authorČapko, Darkoen
dc.contributor.authorVukmirović, Goranen
dc.contributor.authorErdeljan, Andreaen
dc.date.accessioned2019-09-23T10:17:58Z-
dc.date.available2019-09-23T10:17:58Z-
dc.date.issued2018-01-05en
dc.identifier.isbn9781538630723en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/1820-
dc.description.abstract© 2017 IEEE. Due to the rapid growth of IT technology and scientific/technological advances, the amount of the data to be stored is constantly increasing. Managing and analyzing such large amount of highly interconnected data imposes new ways of modeling the data. Representing data as a graph structure proved to be the most adequate method for modeling big data models. The dominance of graphs in real-world applications asks for new graph data management so that users can access graph data effectively and efficiently. In this paper, modeling and managing power system data as a large graph using Neo4j graph database is presented.en
dc.relation.ispartof2017 25th Telecommunications Forum, TELFOR 2017 - Proceedingsen
dc.titleModeling power system data using NoSQL databaseen
dc.typeConference Paperen
dc.identifier.doi10.1109/TELFOR.2017.8249453en
dc.identifier.scopus2-s2.0-85045831279en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85045831279en
dc.relation.lastpage4en
dc.relation.firstpage1en
dc.relation.volume2017-Januaryen
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
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