Anomaly detection in data perspectives
AssigneeMicrosoft Corporation
InventorsAllan Folting, Bo Thiesson, David E. Heckerman, David M. Chickering, Eric Barber Vigesaa
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AssigneeMicrosoft Corporation
InventorsAllan Folting, Bo Thiesson, David E. Heckerman, David M. Chickering, Eric Barber Vigesaa
Estimating the term…
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.
A system that facilitates data perspective analysis, comprising:
A method for facilitating data perspective analysis, comprising:
A system that facilitates data perspective analysis, comprising:
A data packet, transmitted between two or more computer components, that facilitates data perspective analysis, the data packet comprising, at least in part, information relating to a data perspective analysis system that utilizes, at least in part, a curve fitting process applied to continuous and/or discrete data from a data tube;
Dependencies are inferred from the claim text.