Machine Learning and Knowledge Extraction

Discover the groundbreaking insights in "Machine Learning and Knowledge Extraction," authored by Andreas Holzinger and published by Springer Nature Switzerland AG in 2019. This comprehensive volume features the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2019), held in Canterbury, UK. With a total of 416 pages, this edition presents 25 meticulously reviewed full papers selected from 45 submissions, showcasing the latest advancements and research in the field. Ideal for researchers, practitioners, and anyone interested in the intersection of machine learning and knowledge extraction, this book provides valuable insights into innovative methodologies and applications. Enhance your understanding of this dynamic field with this essential resource!