Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals

@article{Gray2004DataCA,
  title={Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals},
  author={J. Gray and S. Chaudhuri and A. Bosworth and Andrew Layman and D. Reichart and Murali Venkatrao and Frank Pellow and H. Pirahesh},
  journal={Data Mining and Knowledge Discovery},
  year={2004},
  volume={1},
  pages={29-53}
}
  • J. Gray, S. Chaudhuri, +5 authors H. Pirahesh
  • Published 2004
  • Mathematics, Computer Science
  • Data Mining and Knowledge Discovery
  • Data analysis applications typically aggregate data across manydimensions looking for anomalies or unusual patterns. The SQL aggregatefunctions and the GROUP BY operator produce zero-dimensional orone-dimensional aggregates. Applications need the N-dimensionalgeneralization of these operators. This paper defines that operator, calledthe data cube or simply cube. The cube operator generalizes the histogram,cross-tabulation, roll-up,drill-down, and sub-total constructs found in most report… CONTINUE READING
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