Data stream change detector

Electrical computers and digital processing systems: multicomput – Computer-to-computer protocol implementing – Computer-to-computer data streaming

Reexamination Certificate

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Reexamination Certificate

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08073963

ABSTRACT:
A data stream change detector including a receiving module, a preprocessor module, a clustering module, a strangeness module, a p-value module, a martingale value determination module, comparison module, and an output module. The receiving module accepts new data vectors that originate from a sequence of data in a data stream. Preprocessor module preprocesses the new data vector using a filter. The clustering module clusters the new data vector with previously received data vectors. Strangeness module computes a strangeness value for each of the previously received data vectors. The p-value module calculates a p-value for the new data vector using the strangeness value. Martingale value determination module calculates a martingale value for the new data vector using the p-value. Comparison module compares the martingale value with a threshold value; and sets an indicator if a change if the martingale is greater than the threshold.

REFERENCES:
patent: 2003/0209893 (2003-11-01), Breed et al.
patent: 2008/0270329 (2008-10-01), Long et al.
Ho, S. 2005. A martingale framework for concept change detection in time-varying data streams. In Proceedings of the 22nd international Conference on Machine Learning (Bonn, Germany, Aug. 7-11, 2005). ICML '05, vol. 119. ACM, New York, NY, 321-327. DOI= doi.acm.org/10.1145/1102351.1102392.

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