Method and system for causal modeling and outlier detection
US8140301B2 · kind B2 · utility
32Cited by
1References
16Claims
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Key dates
| Filing date | Apr 30, 2007 |
| Grant date | Mar 20, 2012 |
| Priority date | — |
| Expiry date | Aug 27, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B17/02
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method (and system) for causal modeling includes modeling a data set. The modeling includes estimating a reverse Bayesian forest for the data set and detecting outliers in a separate data set. Detecting the outliers includes applying the reverse Bayesian forest to the separate data set to obtain a probability value assigned to data points in the separate data set and identifying outliers in the separate data set by evaluating the probability value given by the reverse Bayesian forest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.