Resources
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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Everyone's Tags distributed x1

Popular Resources

  • Distributed Anomaly Detection using 1-class SVM for Vertically ...

    A Publication, Distributed Anomaly Detection for Vertically Partitioned Data Distribution: A Case Study Using Satellite Data from Multiple Modalities - 1 year, 1 month ago

    There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of ...

  • Distributed Anomaly Detection Using Satellite Data From Multiple ...

    Other, Distributed Anomaly Detection for Vertically Partitioned Data Distribution: A Case Study Using Satellite Data from Multiple Modalities - 1 year, 1 month ago

    Presentation from the CIDU 2010 conference

  • Distributed Anomaly Detection using Satellite Data From Multiple ...

    A Publication, Distributed Anomaly Detection for Vertically Partitioned Data Distribution: A Case Study Using Satellite Data from Multiple Modalities - 3 years, 7 months ago

    There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate ...

    distributed

Discussions

  • Kamalika Das, 3 years, 7 months

    A powerpoint presentation supporting this project will be uploaded shortly.

Project Highlight

5 members / 3 resources

Started: Sep 09, 2010

Last Activity: Sep 14, 2010

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