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GRAPHED: A Graph Description Diagram for Graph Databases

2018
Within recent years, graph database systems have become very popular and deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency.
Maristela Holanda   +3 more
openaire   +2 more sources

Database and Graph Theory

2017
This book presents an introduction to morphogenetic computing [27–35]. The idea of morphogenetic computing came from conflicts and uncertainty situations that grow up when we compare two incompatible universes as local universe and global universe, neural universe and Boolean function universe, database sink and source incompatibility fuzzy logic in ...
Guanglin Xu, Germano Resconi, Xiaolin Xu
openaire   +2 more sources

Graph databases: A survey

International Conference on Computing, Communication & Automation, 2015
In the era of big data, data analytics, business intelligence database management plays a vital role from technical business management and research point of view. Over many decades, database management has been a topic of active research. There are different type of database management system have been proposed over a period of time but Relational ...
openaire   +2 more sources

A Review on Graph Database and its representation

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC), 2019
Extensively, facts are represented characteristically as a table for the purpose of making it indexed with increased readability. Currently, the tendencies are altering as Graph databases are rapidly attaining popularity.
Subrata Paul, A. Mitra, C. Koner
semanticscholar   +1 more source

Fraud detection in the distributed graph database

Cluster Computing, 2022
Sakshi Srivastava, A. Singh
semanticscholar   +1 more source

Querying graph databases

Proceedings of the 32nd ACM SIGMOD-SIGACT-SIGAI symposium on Principles of database systems, 2013
Graph databases have gained renewed interest in the last years, due to its applications in areas such as the Semantic Web and Social Networks Analysis. We study the problem of querying graph databases, and, in particular, the expressiveness and complexity of evaluation for several general-purpose query languages, such as the regular path queries and ...
openaire   +2 more sources

Crowdstore: A Crowdsourcing Graph Database

2016
Existing crowdsourcing database systems fail to support complex, collaborative or responsive crowd work. These systems implement human computation as independent tasks published online, and subsequently chosen by individual workers. Such pull model does not support worker collaboration and its expertise matching relies on workers’ subjective self ...
Benjamin Satzger   +4 more
openaire   +2 more sources

Generating flexible workloads for graph databases

Proceedings of the VLDB Endowment, 2016
Graph data management tools are nowadays evolving at a great pace. Key drivers of progress in the design and study of data intensive systems are solutions for synthetic generation of data and workloads, for use in empirical studies. Current graph generators, however, provide limited or no support for workload generation or are limited to fixed use ...
Bagan, Guillaume   +5 more
openaire   +4 more sources

Conceptual and Database Modelling of Graph Databases

Proceedings of the 20th International Database Engineering & Applications Symposium on - IDEAS '16, 2016
Comparing graph databases with traditional, e.g., relational databases, some important database features are often missing there. Particularly, a graph database schema including integrity constraints is not explicitly defined, also a conceptual modelling is not used at all.
openaire   +2 more sources

Credit Card Fraud Detection Technique by Applying Graph Database Model

The Arabian journal for science and engineering, 2021
Debachudamani Prusti   +2 more
semanticscholar   +1 more source

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