| 摘要 |
Methods for discovering portions of a multi-dimensional database that are significant to an analyst can be computer-implemented. The methods can include specifying a data view having at least two dimensions and all records of the database. A plurality of operation iterations are then performed on the data view, wherein each iteration is a chain operation, a hop operation or an anti-hop operation. The operation iterations are ceased upon satisfaction of a termination criteria. The resulting data view can then be presented to an analyst. The methods can facilitate a users' knowledge discovery tasks and assist in finding relevant patterns, trends, and anomalies.
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