Paper Info
Title
Managing the Evolution of Dataflows with VisTrails
Abstract
Scientists are now faced with an incredible volume of data to analyze. To successfully analyze and validate various hypotheses, it is necessary to pose several queries, correlate disparate data, and create insightful visualizations of both the simulated processes and observed phenomena. Data exploration through visualization requires scientists to go through several steps. In essence, they need to assemble complex workflows that consist of dataset selection, specification of series of operations that need to be applied to the data, and the creation of appropriate visual representations, before they can finally view and analyze the results. Often, insight comes from comparing the results of multiple visualizations that are created during the data exploration process.
Year
DOI
Venue
2006
10.1109/ICDEW.2006.75
ICDE Workshops
Keywords
Field
DocType
incredible volume,data exploration process,dataset selection,complex workflows,disparate data,appropriate visual representation,data exploration,multiple visualization,insightful visualization,observed phenomenon,navigation,history,data visualization,data analysis,pipelines
Data science,Data mining,Data visualization,Data exploration,Assembly systems,Visualization,Computer science,Disparate system,Workflow,Database
Conference
ISBN
Citations 
PageRank 
0-7695-2571-7
39
5.03
References 
Authors
1
6
Name
Order
Citations
PageRank
Steven P. Callahan175844.35
Juliana Freire23956270.89
Emanuele Santos393952.64
Carlos E. Scheidegger458430.83
Cláudio T. Silva55054290.90
Huy T. Vo6103561.10