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

Machine Learning and Knowledge Extraction

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  • Genre Computers & Internet
  • Publisher Springer Nature
  • Released
  • Size 25.73 MB
  • Length 107 Pages

Description

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.  
The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on 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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