Name
Abstract | ||
|---|---|---|
While many VA workflows make use of machine-learned models to support analytical tasks, VA workflows have become increasingly important in understanding and improving Machine Learning (ML) processes. In this paper, we propose an ontology (VIS4ML) for a subarea of VA, namely “VA-assisted ML”. The purpose of VIS4ML is to describe and understand existing VA workflows used in ML as well as to detect g... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVCG.2018.2864838 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Ontologies,Data visualization,Analytical models,Data models,Task analysis,OWL,Machine learning | Ontology (information science),Ontology,Data visualization,Computer science,Visual analytics,Conceptualization,Semantic Web,Artificial intelligence,Workflow,Machine learning,Ontology language | Journal |
Volume | Issue | ISSN |
25 | 1 | 1077-2626 |
Citations | PageRank | References |
11 | 0.54 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominik Sacha | 1 | 191 | 9.31 |
| matthias kraus | 2 | 31 | 10.02 |
| Daniel A. Keim | 3 | 7704 | 1141.60 |
| Min Chen | 4 | 1293 | 82.69 |