Visualizing Runtime Evolution Paths in a Multidimensional Space (Work In Progress Paper)
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering: New York, NY, United States : Association for Computing Machinery, 2023. S. 33-38. - ISBN: 979-8-4007-0072-9
- Ereignis
-
Veröffentlichung
- (wo)
-
Bamberg
- (wer)
-
Otto-Friedrich-Universität Bamberg
- (wann)
-
2023
- Urheber
- URN
-
urn:nbn:de:bvb:473-irb-591917
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
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
- Tarner, Hagen
- Beck, Fabian
- Otto-Friedrich-Universität Bamberg
Entstanden
- 2023
Ähnliche Objekte (12)
Visualizing urban futures : a framework for visualizing multidimensional geospatial data
Visualizing High-density Clusters in Multidimensional Data
Visualizing the Active Paths in Morphologically Defective Organic Thin‐Film Transistors
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data
Circle View - A New Approach for Visualizing Time related Multidimensional Data Sets
caOmicsV: an R package for visualizing multidimensional cancer genomic data
DataShiftExplorer : Visualizing and Comparing Change in Multidimensional Data for Supervised Learning
Consistency model for runtime objects in the Open Community Runtime
Visualizing Data
Visualizing immunity
Run-time reconfigurable multiprocessors
Run-time reconfigurable multiprocessors
Visualizing urban futures : a framework for visualizing multidimensional geospatial data
Visualizing High-density Clusters in Multidimensional Data
Visualizing the Active Paths in Morphologically Defective Organic Thin‐Film Transistors
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data
Circle View - A New Approach for Visualizing Time related Multidimensional Data Sets
caOmicsV: an R package for visualizing multidimensional cancer genomic data
DataShiftExplorer : Visualizing and Comparing Change in Multidimensional Data for Supervised Learning
Consistency model for runtime objects in the Open Community Runtime
Visualizing Data
Visualizing immunity
Run-time reconfigurable multiprocessors
Run-time reconfigurable multiprocessors
Visualizing urban futures : a framework for visualizing multidimensional geospatial data
Visualizing High-density Clusters in Multidimensional Data
Visualizing the Active Paths in Morphologically Defective Organic Thin‐Film Transistors
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data
Circle View - A New Approach for Visualizing Time related Multidimensional Data Sets
caOmicsV: an R package for visualizing multidimensional cancer genomic data
DataShiftExplorer : Visualizing and Comparing Change in Multidimensional Data for Supervised Learning
Consistency model for runtime objects in the Open Community Runtime
Visualizing Data
Visualizing immunity
Run-time reconfigurable multiprocessors