Abstract | ||
---|---|---|
People often rank and order data points as a vital part of making decisions. Multi-attribute ranking systems are a common tool used to make these data-driven decisions. Such systems often take the form of a table-based visualization in which users assign weights to the attributes representing the quantifiable importance of each attribute to a decision, which the system then uses to compute a ranki... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TVCG.2017.2745078 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Data visualization,Support vector machines,Visual analytics,Data models,Prototypes,Computational modeling | Data point,Data science,Data modeling,Data visualization,Ranking,Ranking SVM,Visualization,Computer science,Visual analytics,Relative value | Journal |
Volume | Issue | ISSN |
24 | 1 | 1077-2626 |
Citations | PageRank | References |
9 | 0.44 | 29 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Emily Wall | 1 | 47 | 5.38 |
Subhajit Das | 2 | 13 | 6.22 |
Ravish Chawla | 3 | 9 | 0.44 |
Bharath Kalidindi | 4 | 9 | 0.44 |
Eli T. Brown | 5 | 115 | 7.05 |
Alex Endert | 6 | 974 | 52.18 |