Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/51548
Title: Web-Based Visualization and Analysis Framework for Graph Data
Authors: Şentürk, F.
Bilici, M.A.
Tanışman, S.
Aytaç, V.
Keywords: 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
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: 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.
Description: 2nd International Semantic Intelligence Conference, ISIC 2022 -- 17 May 2022 through 19 May 2022 -- 291239
URI: https://doi.org/10.1007/978-981-19-7126-6_2
https://hdl.handle.net/11499/51548
ISBN: 9789811971259
ISSN: 1876-1100
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

90
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.