A visual analytics approach for peak-preserving prediction of large seasonal time series
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Computer Graphics Forum ; 30 (2011), 3. - S. 691-700. - ISSN 0167-7055
- Klassifikation
-
Astronomie, Kartographie
- Ereignis
-
Veröffentlichung
- (wo)
-
Konstanz
- (wer)
-
Bibliothek der Universität Konstanz
- (wann)
-
2011
- Beteiligte Personen und Organisationen
-
Hao, Ming C.
Janetzko, Halldór
Mittelstädt, Sebastian
Hill, Water
Dayal, Umeshwar
Keim, Daniel
Marwah, Manish
Sharma, Ratnesh K.
- URN
-
urn:nbn:de:bsz:352-187326
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hao, Ming C.
- Janetzko, Halldór
- Mittelstädt, Sebastian
- Hill, Water
- Dayal, Umeshwar
- Keim, Daniel
- Marwah, Manish
- Sharma, Ratnesh K.
- Bibliothek der Universität Konstanz
Entstanden
- 2011
Ähnliche Objekte (12)
Visual Analytics in Europe
Mastering the information age - solving problems with visual analytics
Scope and Challenges of Visual Analytics
Solving problems with visual analytics : challenges and applications
Introduction to the Special Issue on Visual Analytics
COPERNICUS : Context-preserving engine for route navigation with interactive user-modifiable scaling
Visual analytics : how much visualization and how much analytics?
NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness
VACS : Visual Analytics Suite for Cyber Security - Visual Exploration of Cyber Security Datasets
Visual Analytics
Real-time visual analytics for event data streams
Dynamic visual analytics - facing the real-time challenge
Visual Analytics in Europe
Mastering the information age - solving problems with visual analytics
Scope and Challenges of Visual Analytics
Solving problems with visual analytics : challenges and applications
Introduction to the Special Issue on Visual Analytics
COPERNICUS : Context-preserving engine for route navigation with interactive user-modifiable scaling
Visual analytics : how much visualization and how much analytics?
NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness
VACS : Visual Analytics Suite for Cyber Security - Visual Exploration of Cyber Security Datasets
Visual Analytics
Real-time visual analytics for event data streams
Dynamic visual analytics - facing the real-time challenge
Visual Analytics in Europe
Mastering the information age - solving problems with visual analytics
Scope and Challenges of Visual Analytics
Solving problems with visual analytics : challenges and applications
Introduction to the Special Issue on Visual Analytics
COPERNICUS : Context-preserving engine for route navigation with interactive user-modifiable scaling
Visual analytics : how much visualization and how much analytics?
NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness
VACS : Visual Analytics Suite for Cyber Security - Visual Exploration of Cyber Security Datasets
Visual Analytics
Real-time visual analytics for event data streams