Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, ... Notes in Computer Science Book 11713)

Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, ... Notes in Computer Science Book 11713)

Andreas Holzinger , Peter Kieseberg , A Min Tjoa
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Aug 22, 2019 · 영어 · 킨들 (416 페이지)
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책 세부 정보

형식 킨들
페이지 416
언어 영어
출판됨 Aug 22, 2019
출판사 Springer

설명

This collection showcases the latest advancements in the fascinating realm of machine learning and knowledge extraction, highlighting insights gleaned from the third international cross-domain conference. It brings together a spectrum of perspectives from renowned experts in the field, emphasizing interdisciplinary approaches that tackle pressing challenges and harness data-driven solutions.

Readers will discover a rich tapestry of research findings, innovative methodologies, and practical applications aimed at enhancing the understanding and deployment of machine learning techniques. The contributions within blend theoretical frameworks with real-world implications, all while fostering collaboration across different domains, making it a vital resource for researchers and practitioners alike.

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