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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

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