Name
Abstract | ||
|---|---|---|
${\cal A}$ dataset with M items has 2M subsets anyone of which may be the one we really want. With a good data display our fantastic pattern-recognition ability can not only cut great swaths searching through this combinatorial explosion but also extract insights from the visual patterns. These are the core reasons for data visualization. With Parallel Coordinates (abbr. ||-coords) the search for multivariate relations in high dimensional datasets is transformed into a 2-D pattern recognition problem. After a short overview of ||-coords, guidelines and strategies for knowledge discovery are illustrated on different real datasets, one with 400 variables from a manufacturing process. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11780991_36 | NGITS |
Keywords | Field | DocType |
fantastic pattern-recognition ability,multidimensional visualization,2-d pattern recognition problem,data visualization,combinatorial explosion,good data,high dimensional datasets,different real datasets,m item,core reason,parallel coordinates,exploratory data analysis,multidimensional system,knowledge discovery,pattern recognition,data mining,3 dimensional | Information system,Data mining,Data visualization,Computer science,Visualization,Parallel coordinates,Knowledge extraction,Combinatorial explosion,Database,Manufacturing process,Data display | Conference |
Volume | ISSN | ISBN |
371 | 0302-9743 | 3-540-35472-7 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfred Inselberg | 1 | 1230 | 165.81 |