Anomaly analysis using maximum likelihood continuity mapping

Details Anomaly analysis using maximum likelihood continuity mapping Anomaly analysis using maximum likelihood continuity mapping

1998-01-29

2000-03-14

Teska, Kevin J.

39550023, G06F 1718, G06F10114, G06G 748

Patent

active

060383887

ABSTRACT:
A method of modeling symbol sequence generation is obtained which allows the probability of symbol sequences to be estimated. The model involves treating symbols as if they are emitted as a point travels through an abstract space called a continuity map (CM), in which each position in the space has associated probabilities of emitting each of the possible symbols. This method for modeling symbol generation, combined with methods for estimating the probability of symbol sequences given smooth paths through the CM, can be applied to such problems as language modeling and anomaly/fraud detection. A fraud detection study is described that demonstrates that the invention can be used for detecting medical fraud.

REFERENCES:
patent: 5557514 (1996-09-01), Seare et al.
patent: 5581655 (1996-12-01), Cohen et al.
Garner et al.: Hypothesis Generation Paradigm for Fraud Detection; IEEE TENCON '94; pp. 197-201, Aug. 1994.
Robert M. Gray, "Vector Quantization," IEEE ASSP Magazine, Apr. 1984, pp. 4-29.
John Hogden, "A Maximum Likelihood Approach To Estimating Articulator Positions From Speech Acoustics," LA-UR-96-3518, pp. 1-24.

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