Machine Learning and Knowledge Extraction by Andreas Holzinger, Peter Kieseberg, A. Min Tjoa & Edgar Weippl

Machine Learning and Knowledge Extraction

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  • Genre Software
  • Publisher Springer-Verlag
  • Released
  • Size 7.38 MB
  • Length 264 Pages

Description

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017.
The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.

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