Machine Learning and Knowledge Extraction

Discover the cutting-edge insights in "Machine Learning and Knowledge Extraction," authored by Andreas Holzinger and published by Springer Nature Switzerland AG in 2021. This first edition, spanning 365 pages, compiles the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021. Held virtually in August 2021, this book features 20 full papers and 2 short papers, all meticulously reviewed and selected from a competitive pool of 48 submissions. Dive into the world of machine learning and explore the latest developments and applications that are shaping the future of knowledge extraction. Ideal for researchers, practitioners, and anyone interested in the intersection of technology and knowledge management, this volume is a must-have addition to your library.