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Data-Driven Technology for Engineering Systems Health Management Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

Niu, Gang. author.

http://dx.doi.org/10.1007/978-981-10-2032-2

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Data-Driven Technology for Engineering Systems Health Management Design Approach, Feature

Tech mining exploiting new technologies for competitive advantage

Porter, Alan L.

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Wiley series in systems engineering and management.

Adaptive web sites a knowledge extraction from web data approach

Velásquez, Juan D.

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Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering

Active mining new directions of data mining

Motoda, Hiroshi.

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Frontiers in artificial intelligence and applications, Knowledge-based intelligent engineering

Intelligent Distributed Computing X Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016

Badica, Costin. editor.

http://dx.doi.org/10.1007/978-3-319-48829-5

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-Driven Engineering.-Detection of traﬃc anomalies in multi-service networks based on a fuzzy logical inference

Data Science and Big Data: An Environment of Computational Intelligence

Pedrycz, Witold. editor.

http://dx.doi.org/10.1007/978-3-319-53474-9

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to those researchers and practitioners involved in data science, Internet engineering, computational

Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2016

Beyerer, Jürgen. editor.

http://dx.doi.org/10.1007/978-3-662-53806-7

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-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of

Recent Developments in Intelligent Computing, Communication and Devices Proceedings of ICCD 2016

Patnaik, Srikanta. editor.

http://dx.doi.org/10.1007/978-981-10-3779-5

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applications, data mining and knowledge discovery, semantic and web technology, hybrid systems, agent computing

Knowledge-Driven Board-Level Functional Fault Diagnosis

Ye, Fangming. author.

http://dx.doi.org/10.1007/978-3-319-40210-9

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-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as

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