Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11713)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: CD-MAKE 2019.
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Table of contents(25 papers)
Other volumes
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Machine Learning and Knowledge Extraction
About this book
The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
Editors and Affiliations
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Medical University of Graz, Graz, Austria
Andreas Holzinger
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St. Pölten University of Applied Sciences, St. Pölten, Austria
Peter Kieseberg
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Vienna University of Technology, Vienna, Austria
A Min Tjoa
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SBA Research, Vienna, Austria
Edgar Weippl
Bibliographic Information
Book Title: Machine Learning and Knowledge Extraction
Book Subtitle: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings
Editors: Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-29726-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: IFIP International Federation for Information Processing 2019
Softcover ISBN: 978-3-030-29725-1Published: 23 August 2019
eBook ISBN: 978-3-030-29726-8Published: 22 August 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 416
Number of Illustrations: 40 b/w illustrations, 98 illustrations in colour
Topics: Artificial Intelligence, Database Management, Data Mining and Knowledge Discovery, User Interfaces and Human Computer Interaction, Arithmetic and Logic Structures, Systems and Data Security