Visual Exploration of Financial Data with Incremental Domain Knowledge.
Information Visualization
Visual Analytics
Visualization
Visualization in Finance
Journal
Computer graphics forum : journal of the European Association for Computer Graphics
ISSN: 0167-7055
Titre abrégé: Comput Graph Forum
Pays: England
ID NLM: 101511479
Informations de publication
Date de publication:
Feb 2023
Feb 2023
Historique:
medline:
1
2
2023
pubmed:
1
2
2023
entrez:
20
3
2024
Statut:
ppublish
Résumé
Modelling the dynamics of a growing financial environment is a complex task that requires domain knowledge, expertise and access to heterogeneous information types. Such information can stem from several sources at different scales, complicating the task of forming a holistic impression of the financial landscape, especially in terms of the economical relationships between firms. Bringing this scattered information into a common context is, therefore, an essential step in the process of obtaining meaningful insights about the state of an economy. In this paper, we present
Identifiants
pubmed: 38504907
doi: 10.1111/cgf.14723
pii: CGF14723
pmc: PMC10946466
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101-116Informations de copyright
© 2022 The Authors. Computer Graphics Forum published by Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.