Machine Learning and Knowledge Extraction

First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-66807-9
Verlag: Springer International Publishing

Buch, Englisch, Band 10410, 376 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 5913 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Holzinger, Andreas

Weippl, Edgar

Kieseberg, Peter

Tjoa, A Min

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion