Shared by: Leo Wang

Knowledge Discovery: We define "Knowledge Discovery" as the process of generating actionable predictive insights from massive volumes of heterogeneous data ...

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Shared by: Leo Wang

This area will contain papers of interest in data mining and machine learning. Please feel free to post useful papers ...

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Data Mining and Knowledge Discovery

Shared by: Leo Wang

Detecting anomalous behavior from terabytes of flight record data has emerged as a crucial component for many systems for Aircraft ...

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Shared by: Leo Wang

PHM Data Challenge (https://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-repository/) The PHM Data Challenge was part of the PHM08 conference. It was a competition open to ...

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Shared by: Leo Wang

The recent acquisition of high fidelity computational resources at NASA Ames allows for the use of a mid-range Linux cluster ...

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The ability to detect and diagnose engine faults, failures, or even shutdowns in flight has clear implications for aviation safety. ...

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There are several aeronautics text mining activities. NASA also sponsored a small text mining competitionin conjunction with the SIAM Data ...

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Here are some preliminary results for a spectral simulator designed to test the capabilities and differences between SDA, PCA , ...

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Data Mining and Knowledge Discovery, Prognostics

Shared by: Leo Wang

An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms ...

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Shared by: Leo Wang

The Optical Plume Anomaly Detection (OPAD) system is under development to predict engine anomalies and engine parameters of the Space ...

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Shared by: Leo Wang

Various instruments are used to create images of the earth and other objects in the universe in a diverse set ...

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Shared by: Leo Wang

Advanced Diagnostics and Prognostics Testbed (ADAPT) Project Lead: Scott Poll The Advanced Diagnostics and Prognostics Testbed (ADAPT) at NASA Ames ...

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