Semantic-Guided Feature Selection for Industrial Automation Systems

Lecture Notes in Computer Science, pp. 225-240, 2015.

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Abstract:

Modern industrial automation systems incorporate a variety of interconnected sensors and actuators that contribute to the generation of vast amounts of data. Although valuable insights for plant operators and engineers can be gained from such data sets, they often remain undiscovered due to the problem of applying machine learning algorit...More

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