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 Computers & Internet
  • Publisher Springer-Verlag
  • Released
  • Size 49.87 MB
  • Length 264 Pages

Description

This book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.
The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

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