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
아직 평점이 없습니다
2019 · 영어 · 킨들
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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.

책 세부 정보

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