• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Visual trend analysis with digital libraries
 
  • Details
  • Full
Options
2015
Conference Paper
Titel

Visual trend analysis with digital libraries

Abstract
The early awareness of new technologies and upcoming trends is essential for making strategic decisions in enterprises and research. Trends may signal that technologies or related topics might be of great interest in the future or obsolete for future directions. The identification of such trends premises analytical skills that can be supported through trend mining and visual analytics. Thus the earliest trends or signals commonly appear in science, the investigation of digital libraries in this context is inevitable. However, digital libraries do not provide sufficient information for analyzing trends. It is necessary to integrate data, extract information from the integrated data and provide effective interactive visual analysis tools. We introduce in this paper a model that investigates all stages from data integration to interactive visualization for identifying trends and analyzing the market situation through our visual trend analysis environment. Our approach improves the visual analysis of trends by investigating the entire transformation steps from raw and structured data to visual representations.
Author(s)
Nazemi, Kawa
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Retz, Reimond
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Burkhardt, Dirk
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kuijper, Arjan orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kohlhammer, Jörn
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Fellner, Dieter W.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
15th International Conference on Knowledge Technologies and Data-Driven Business, I-KNOW 2015. Proceedings
Konferenz
International Conference on Knowledge Technologies and Data-Driven Business (I-KNOW) 2015
Thumbnail Image
DOI
10.1145/2809563.2809569
Language
English
google-scholar
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • Visual analytics

  • information visualization

  • data integration

  • data mining

  • trend analysis

  • information extraction

  • Forschungsgruppe Semantic Models, Immersive Systems (SMIS)

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022