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2 Publications 1 Others
Related Research Areas
Climate Variability & Change, Earth Surface & Interior

This project addresses the issue of anomaly detection from distributed databases when different features are observed and stored at geographically different locations. The proposed algorithm uses an one-class SVM based anomaly detection approach for identifying the top $k$ anomalies from the set of observations without centralizing the data to a single location.

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  • Kamalika Das, 4 years, 5 months

    A powerpoint presentation supporting this project will be uploaded shortly.

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5 members / 3 resources

Started: Sep 09, 2010

Last Activity: Sep 14, 2010

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