Results 21 to 30 of about 388,640 (259)

Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]

open access: yes, 2013
Over the years, frequent subgraphs have been an important sort of targeted patterns in the pattern mining literatures, where most works deal with databases holding a number of graph transactions, e.g., chemical structures of compounds. These methods rely
Han, Jialong, Wen, Ji-Rong
core   +1 more source

An approach for system analysis with model-based systems engineering and graph data engineering

open access: yesData-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
doaj   +1 more source

Some problems on graph databases

open access: yesТруды 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
doaj   +1 more source

Graph Representation Integrating Signals for Emotion Recognition and Analysis

open access: yesSensors, 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
doaj   +1 more source

Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data

open access: yesFuture Internet, 2020
Every day large quantities of spatio-temporal data are captured, whether by Web-based companies for social data mining or by other industries for a variety of applications ranging from disaster relief to marine data analysis.
Sedick Baker Effendi   +2 more
doaj   +1 more source

Methodology for Building a Prototype System for Complex Data Analysis of Thematic Sites

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 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
doaj   +1 more source

Graph technologies in an intelligent system of complex analysis of data from Internet sources

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2020
The purpose of the work outlined in the article is to review and demonstrate the use of graph technologies for deep data analysis. The first part of the article discusses the Intelligent System for the Comprehensive Analysis of Internet Sources Data and ...
I. I. Piletski   +2 more
doaj   +1 more source

Data aggregation and indexing support from multiple sources using graph model in medical expert system databases

open access: yesInformatika, 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
doaj   +1 more source

Outlier Recognition via Linguistic Aggregation of Graph Databases

open access: yesApplied 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
doaj   +1 more source

Neural Graph Databases

open access: yesarXiv, 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
openaire   +2 more sources

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