Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12611)
Part of the book sub series: Programming and Software Engineering (LNPSE)
Included in the following conference series:
Conference proceedings info: DataMod 2020.
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About this book
This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020.
The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.
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Keywords
Table of contents (14 papers)
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Front Matter
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Machine Learning
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Front Matter
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Simulation-Based Approaches
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Front Matter
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Data Mining and Processing Related Approaches
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Front Matter
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Back Matter
Other volumes
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From Data to Models and Back
Editors and Affiliations
Bibliographic Information
Book Title: From Data to Models and Back
Book Subtitle: 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
Editors: Juliana Bowles, Giovanna Broccia, Mirco Nanni
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-70650-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-70649-4Published: 05 March 2021
eBook ISBN: 978-3-030-70650-0Published: 04 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 227
Number of Illustrations: 49 b/w illustrations
Topics: Software Engineering/Programming and Operating Systems, Artificial Intelligence, Theory of Computation