Name
Abstract | ||
|---|---|---|
Software tools for visualizing very large multidimensional databases have become increasingly important to discover interesting relationships among variables. While current tools implement operations such as drilling down, rolling up, and slicing data tables to help users notice interesting features of the data, the onus is on the user to choose the dimensions for drill down, or other operations. Expert knowledge is required to do this effectively and, since many users are novices, incorrect choices often lead to dead-ends, backtracking, confusion, and frustration. We suggest a novel approach to the selection of dimensions that relies on the interactive presentation of small multiples of thumbnail visualizations, before performing drill down or roll up operations. These previews of distributions, relationships, and associations, before variable selection, compel visual comparisons of change and difference, thus highlighting the options that are most likely to lead to productive paths. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1923947.1923961 | CASCON |
Keywords | Field | DocType |
novel approach,visual guidance,large databases,large multidimensional databases,interesting relationship,current tool,interesting feature,data table,incorrect choice,interactive presentation,expert knowledge,variable selection,multidimensional database | Data science,Thumbnail,Feature selection,Computer science,Slicing,Drill down,Software,Notice,Backtracking,Multiple,Database,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.43 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiang Du | 1 | 1 | 0.43 |
| Ian Spence | 2 | 1 | 0.43 |
| Michael J. McGuffin | 3 | 989 | 54.52 |