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
まだ評価がありません
Aug 22, 2019 · 英語 · キンドル (416 ページ)
棚に追加

この本を評価する


ブックジャーナルをエクスポート

本の詳細

形式 キンドル
ページ数 416
言語 英語
公開されました Aug 22, 2019
出版社 Springer

説明

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.

ジャンル

ビジネス&経済
棚に追加

この本を評価する


ブックジャーナルをエクスポート