Web-Based Visualization and Analysis Framework for Graph Data

Küçük Resim Yok

Tarih

2023

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Science and Business Media Deutschland GmbH

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Graph theory has many applications in computer science. Graphs are involved in the mathematical modeling of problems belonging to very popular computer and data science, such as data mining, data clustering, computer network, image segmentation, etc. Graph theory is used in computer science to solve problems modeled as graphs. However, many applications do not have an interface that displays and edits graphs instantly. Moreover, these applications are not supported with a web interface. In this study, a web interface has been developed that support graph theory concepts, display more than one graph simultaneously, have a user-friendly interface, and include algorithms to analyze graphs. Also, we present a web service for these graph analyzing algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Açıklama

2nd International Semantic Intelligence Conference, ISIC 2022 -- 17 May 2022 through 19 May 2022 -- 292929

Anahtar Kelimeler

Clustering algorithms, Data mining, Data visualization, Graphic methods, Image segmentation, Web services, Websites, Analysis frameworks, AS graph, Data clustering, Graph data, Images segmentations, Visualization and analysis, Visualization framework, Web interface, Web-based analysis, Web-based visualization, Graph theory

Kaynak

Lecture Notes in Electrical Engineering

WoS Q Değeri

Scopus Q Değeri

Q4

Cilt

964

Sayı

Künye