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Machine Learning Paradigms

Applications of Learning and Analytics in Intelligent Systems
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Description

This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.
Release date NZ
August 14th, 2020
Contributors
  • Edited by Evangelos Sakkopoulos
  • Edited by George A. Tsihrintzis
  • Edited by Lakhmi C. Jain
  • Edited by Maria Virvou
Pages
548
Edition
1st ed. 2019
Audience
  • Professional & Vocational
Illustrations
101 Illustrations, color; 38 Illustrations, black and white; XX, 548 p. 139 illus., 101 illus. in color.
ISBN-13
9783030156305
Product ID
33680785

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