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  • A web-based collaboration tool for those interested in data mining and systems health

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    • Research Areas

      Learn about our research fields, goals and their associated projects.

    • Projects

      See what others in the community are working on. Join or start your own.

    • Resources

      Available data sets, algorithms, and publications FREE to download

    A web-based collaboration tool for those interested in data mining and systems health

    learn more

Welcome to DASHlink!

DASHlink is a collaborative sharing network for researchers in the Data Mining and Systems Health fields. On DASHlink you can create a public member profile, share papers, algorithms, and datasets, and utilize tools like wikis and blogs to collaborate. For more information on how to use DASHlink, please visit our Help Center. And, we always appreciate feedback! If you have any questions or comments, please let us know.

Featured

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Conference on Intelligent Data Understanding 2012

The 2012 Conference on Intelligent Data Understanding (CIDU 2012) is organized under the theme of "Bringing Data and Models Together" and will attract top researchers and practitioners in the field ...

Intelligent Data Understanding Group

The Intelligent Data Understanding (IDU) Group collaborates with domain scientists in the fields of Integrated System Health Management, Aeronautics, Space Exploration, Earth Sciences and Space Sciences to answer pressing scientific ...

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Aeroelastic Prediction Workshop

Please click here to enter the Aeroelastic Prediction Workshop-1 Website Please click here to enter the Aeroelastic Prediction Workshop-2 Website

Latest Resources

TEM Jan 2016 'As-run Presentations'

22 files, mostly Powerpoint, of presentations that were delivered on Jan 14-15, 2016.

Micro-Structural Indicators for Assessment of Effect of...

Electronic systems may be subjected to prolonged and intermittent periods of storage prior to deployment or usage. Prior studies have shown that leadfree solder interconnects ...

Anomaly Detection in Aviation Data using Extreme Learni...

We develop fast anomaly detection algorithms using extreme learning machines (ELM) to discover operationally significant anomalies in large aviation data sets. Anomaly detection (aka one-class ...

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