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Can I read Machine Learning and Knowledge Extraction (Lecture Notes in Computer Science) on EtoBox?

Machine Learning and Knowledge Extraction (Lecture Notes in Computer Science) by Andreas Holzinger (editor), Peter Kieseberg (editor), Federico Cabitza (editor), Andrea Campagner (editor), A Min Tjoa (editor), Edgar Weippl (editor) is a nonfiction available to read on EtoBox.

What is Machine Learning and Knowledge Extraction (Lecture Notes in Computer Science) about?

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

Who reads Machine Learning and Knowledge Extraction (Lecture Notes in Computer Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andreas Holzinger (editor), Peter Kieseberg (editor), Federico Cabitza (editor), Andrea Campagner (editor), A Min Tjoa (editor), Edgar Weippl (editor)
Publisher
Springer International Publishing AG
Published
2023
Language
EN
ISBN
9783031408373
Category
nonfiction
Subjects
Computer Science, Science, Management
Updated
2026-03-24

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