Zobrazeno 1 - 10
of 854
pro vyhledávání: '"Cypher"'
Autor:
Singer, Christine1,2
Publikováno v:
Film Criticism. Sep2019, Vol. 43 Issue 2, p41-56. 16p.
Autor:
Abir AlSideiri, Saif AlShamsi, Hajar AlBreiki, Manal AlMoqbali, Mithaa AlMaamari, Shaima AlSaadi
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 5(SI) (2024)
In the contemporary digital landscape, the imperative issue of data security continues to be a prominent concern. Numerous encryption systems have faced challenges stemming from their intricate nature and susceptibility to cyber threats. This study i
Externí odkaz:
https://doaj.org/article/3ced55ce808c4aec89e4f20ad3f9bfbc
Autor:
Das, Sreeparna
Publikováno v:
World Literature Today. Nov/Dec2024, Vol. 98 Issue 6, p57-57. 1/2p. 1 Color Photograph.
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7881 (2024)
Graph databases have become essential for managing and analyzing complex data relationships, with Neo4j emerging as a leading player in this domain. Neo4j, a high-performance NoSQL graph database, excels in efficiently handling connected data, offeri
Externí odkaz:
https://doaj.org/article/58d583a2363b46aca84e97f791981db7
Integration of Family Relation Data: A Neo4j Implementation for Norwegian Law Enforcement Operations
Publikováno v:
Siggerud, Vivianna Chananchida. Integration of Family Relation Data: A Neo4j Implementation for Norwegian Law Enforcement Operations. Master thesis, University of Oslo, 2024
Externí odkaz:
http://hdl.handle.net/10852/112636
Autor:
Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, Robert Heyer
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss S6, Pp 1-12 (2023)
Abstract Background Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine learning for diagnosis, bioma
Externí odkaz:
https://doaj.org/article/9ed94d0175b844d7bdb649b79dc9b77d
Akademický článek
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Autor:
Chun-Hee Lee, Dong-oh Kang
Publikováno v:
ETRI Journal, Vol 44, Iss 5, Pp 780-793 (2022)
Large-scale ontology management is one of the main issues when using ontology data practically. Although many approaches have been proposed in relational database management systems (RDBMSs) or object-oriented DBMSs (OODBMSs) to develop large-scale o
Externí odkaz:
https://doaj.org/article/66b88e53c7334b1fbe4b526a11a33020