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Book guide and evaluation

Machine Learning and Knowledge Extraction

Baimukashev, Daulet; Zhilisbayev, Alikhan; Kuzdeuov, Askat; Oleinikov, Artemiy; Fadeyev, Denis; Makhataeva, Zhanat;[...]Varol, Huseyin Atakan

English Unordered Machine Learning
4.9 / 5

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2019 August 06

Published

428

pages

311

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This book constitutes 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, in August 2019. The 25 revised full papers presented were carefully

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This book constitutes 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, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

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