A first study on strategies for generating workflow snippets
Proceedings of the First International Workshop on Keyword Search on Structured Data
Experiment Line: Software Reuse in Scientific Workflows
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Scientific workflow design with data assembly lines
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
Toward a machine learning approach for classifying user goals from user interactions
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
Provenance management for data exploration
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
CrowdLabs: social analysis and visualization for the sciences
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Delta: a tool for representing and comparing workflows
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
It's about the data: provenance as a tool for assessing data fitness
TaPP'12 Proceedings of the 4th USENIX conference on Theory and Practice of Provenance
Reusable visualizations and animations for surgery planning
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Visual recommendations for network navigation
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
FlowRecommender: a workflow recommendation technique for process provenance
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
The demand for consistent web-based workflow editors
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
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Building visualization and analysis pipelines is a large hurdle in the adoption of visualization and workflow systems by domain scientists. In this paper, we propose techniques to help users construct pipelines by consensus—automatically suggesting completions based on a database of previously created pipelines. In par ticular, we compute correspondences between existing pipeline subgraphs from the database, and use these to predict sets of likely pipeline additions to a given par tial pipeline. By presenting these predictions in a carefully designed interface, users can create visualizations and other data products more efficiently because they can augment their normal work patterns with the suggested completions. We present an implementation of our technique in a publicly-available, open-source scientific workflow system and demonstrate efficiency gains in real-world situations.