ANOMALY DETECTION IN DATA PERSPECTIVES

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...

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Bibliographic Details
Main Authors CHICKERING DAVID M, HECKERMAN DAVID E, FOLTING ALLAN, VIGESAA ERIC B, THIESSON BO
Format Patent
LanguageEnglish
Published 29.12.2005
Edition7
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
PHYSICS
TESTING
WEIGHING
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Summary: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.
Bibliography:Application Number: US20040874956