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Discovery-driven exploration of OLAP data cubes

  • US 6,094,651 A
  • Filed: 08/22/1997
  • Issued: 07/25/2000
  • Est. Priority Date: 08/22/1997
  • Status: Expired due to Fees
First Claim
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1. A method for locating data anomalies in a k-dimensional data cube, the method comprising the steps of:

  • associating a surprise value with each cell of a data cube, the surprise value associated with a cell representing a degree of anomaly of a content of the cell with respect to other cells of the data cube; and

    indicating a data anomaly when the surprise value associated with a cell exceeds a predetermined exception threshold.

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