Results 21 to 30 of about 117,917 (289)
An approach for system analysis with model-based systems engineering and graph data engineering
Data-Centric Engineering, 2022 Model-based systems engineering (MBSE) aims at creating a model of a system under development, covering the complete system with a level of detail that allows to define and understand its behavior and enables to define any interface and work package ...
Florian Schummer, Maximillian Hyba
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Some problems on graph databases
Труды Института системного программирования РАН, 2018 Graph databases appear to be the most popular and relevant among non-relational databases. Its popularity is caused by its relatively easy implementation in the problems in which data have big numbers of relations such as protein-protein interaction and ...
R. I. Guralnik
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Graph Representation Integrating Signals for Emotion Recognition and Analysis
Sensors, 2021 Data reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images.
Teresa Zawadzka +5 more
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Methodology for Building a Prototype System for Complex Data Analysis of Thematic Sites
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2023 One of the modern directions of obtaining information for making informed decisions is the analysis of data from open Internet sources, the analysis of media containing hundreds of thousands of publications.
I. I. Piletski +2 more
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Context-free path querying with all-path semantics using matrices with sets of intermediate vertices [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 The study considers the problem of context-free path querying with all-path query semantics. This problem consists in finding all paths of the graph, the labels on the edges of which form words from the language generated by the input context-free ...
Rustam Sh. Azimov, Semyon V. Grigorev
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Informatika, 2020 One of the key problems in developing and integrating expert systems for medical research is the problem of data aggregation. Most of the times, general information about the patient and data about undergone research procedures exist as part of several ...
A. V. Kurachkin, V. S. Sadau
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Outlier Recognition via Linguistic Aggregation of Graph Databases
Applied Sciences, 2021 Datasets frequently contain uncertain data that, if not interpreted with care, may affect information analysis negatively. Such rare, strange, or imperfect data, here called “outliers” or “exceptions” can be ignored in further processing or, on the other
Adam Niewiadomski +2 more
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arXiv, 2022 Graph databases (GDBs) enable processing and analysis of unstructured, complex, rich, and usually vast graph datasets. Despite the large significance of GDBs in both academia and industry, little effort has been made into integrating them with the predictive power of graph neural networks (GNNs).
Besta, Maciej +7 more
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Journal of Advanced Research in Natural and Applied Sciences, 2022 Relational database management systems have been used for storing data for a long time.However, these systems are insufficient to analyze the large and complex structure of the data.
Ramazan Altın, A. Cumhur Kınacı
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Incremental View Maintenance for Deductive Graph Databases Using Generalized Discrimination Networks [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 Nowadays, graph databases are employed when relationships between entities are in the scope of database queries to avoid performance-critical join operations of relational databases.
Thomas Beyhl, Holger Giese
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