Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Motivation of High-D OLAP
- X. Li, J. Han, and H. Gonzalez, High-Dimensional OLAP: A Minimal Cubing Approach, VLDB'04
- Challenge to current cubing methods:
- The “curse of dimensionality’’ problem
- Iceberg cube and compressed cubes: only delay the inevitable explosion
- Full materialization: still significant overhead in accessing results on disk
- High-D OLAP is needed in applications
- Science and engineering analysis
- Bio-data analysis: thousands of genes
- Statistical surveys: hundreds of variables
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.