Anomaly detection in data perspectives

Details Anomaly detection in data perspectives Anomaly detection in data perspectives

G - Physics

06

F

G06F 17/00 (2006.01) G06F 17/18 (2006.01) G06F 17/30 (2006.01)

Patent

CA 2505983

The present invention leverages curve fitting data techniques to provide automatic detection of data anomalies in a "data tube" from a data perspective, allowing, for example, detection of data anomalies such as on-screen, drill down, and drill across data anomalies in, for example, pivot tables and/or OLAP cubes. It determines if data substantially deviates from a predicted value established by a curve fitting process such as, for example, a piece-wise linear function applied to the data tube. A threshold value can also be employed by the present invention to facilitate in determining a degree of deviation necessary before a data value is considered anomalous. The threshold value can be supplied dynamically and/or statically by a system and/or a user via a user interface. Additionally, the present invention provides an indication to a user of the type and location of a detected anomaly from a top level data perspective.

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