Name
Abstract | ||
|---|---|---|
This paper proposes a new method of creating 3D visual data cubes for high volume/dimension OLAP data analysis with intuitive region selection. Previous methods construct data cubes directly from a data warehouse and build table format cubes with multi-dimensional attributes, in order to specify target ranges for analysis. However, it is a difficult task to select appropriate attributes and their ranges from high cardinality of dimensions with hierarchical structure. The new method reduces the number of dimensions according to the levels of relationship, then confines analysis target ranges with intuitive 3D graphical interface to build an analysis target cube. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCSA.2011.40 | ICCSA Workshops |
Keywords | Field | DocType |
data warehouse,analysis target cube,visualization interaction,dimension olap data analysis,intuitive region selection,high cardinality,visual data cube,new method,target range,olap data cube,high volume,confines analysis target range,data visualization,data analysis,business,3d visualization,data visualisation,data warehouses,data mining,olap,visualization,three dimensional,graphical user interfaces,data cube,human interaction | Data warehouse,Data mining,Data visualization,Computer science,Visualization,Cardinality,Graphical user interface,Online analytical processing,Data cube,Cube | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Su Mi Ji | 1 | 7 | 0.81 |
| Beom Seok Lee | 2 | 0 | 0.34 |
| Kyoung Il Kang | 3 | 0 | 0.34 |
| Sung Gook Kim | 4 | 2 | 1.03 |
| Cheolwhan Lee | 5 | 29 | 3.20 |
| Oh-young Song | 6 | 271 | 26.40 |
| Joon Yeon Choeh | 7 | 45 | 3.74 |
| Ran Baik | 8 | 2 | 5.85 |
| Sung Wook Baik | 9 | 960 | 57.77 |