Search Results - GRAPH DATABASES

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    Using Graph Databases by Hřivnáč Julius

    Published in EPJ Web of Conferences (2020-01-01)
    “…Data in High Energy Physics (HEP) usually consist of complext complex data structures stored in relational databases and files with internal schema. Such architecture exhibits many shortcomings, which could be fixed by migrating into Graph Database storage. …”
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    GPU-based Graph Analysis and Computation Method for Graph Database by QIAN Shangyun, SHAO Zhiyuan, ZHENG Ran, CHEN Jilin

    Published in Jisuanji gongcheng (2021-06-01)
    Subjects: “…graph database|graph analysis and computation|graphics processing unit(gpu)|subgraph extraction|out-of-memory computation…”
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    Statistical characteristics analysis of knowledge graphs for benchmarking graph database management systems by Weining QIAN, Chen SUN, Wenliang CHENG, Aoying ZHOU

    Published in 大数据 (2016-09-01)
    “…,that stimulates the fast development of graph data management systems.However,existing benchmarks for graph databases are all designed for applications that manage and analyze social networks.The statistical characteristics of knowledge graphs were analyzed,and compared with two social networks.It was showed that knowledge graphs,as an important and fast growing kind of graph data,were significantly different from social networks.Therefore,existing social network based benchmarks were not suitable for applications that deal with knowledge graphs.Furthermore,the requirements for a new benchmark were analyzed.…”
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    Enhancement of a Transformation Algorithm to Migrate SQL Database into NoSQL Graph Database by Hira Lal Bhandari, Roshan Chitrakar

    Published in Data Science Journal (2024-06-01)
    “…For this reason, enhancement of transformation algorithm proposed by Shabana Ramzan et al. has been performed to implement the methodology which is used to successfully migrate data from structured and normalized SQL database MySQL to NoSQL graph database Neo4j. SchemaCrawler engine has been used to metamodeling from source to destination database and execute the transformation rules. …”
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    Outlier Recognition via Linguistic Aggregation of Graph Databases by Adam Niewiadomski, Agnieszka Duraj, Monika Bartczak

    Published in Applied Sciences (2021-08-01)
    “…In this paper, for the first time, we apply definitions of outliers and methods for recognizing them based on fuzzy sets and linguistically quantified statements to find outliers in non-relational, here graph-oriented, databases. These methods are proposed and exemplified to identify objects being outliers (e.g., to exclude them from processing). …”
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