Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12080)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: IDA 2020.
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Table of contents (45 papers)
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Front Matter
Other volumes
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Advances in Intelligent Data Analysis XVIII
Keywords
- open access
- data mining
- learning systems
- classification
- clustering
- semantics
- learning algorithms
- supervised learning
- association rules
- social networks
- graphic methods
- neural networks
- artificial intelligence
- computer vision
- correlation analysis
- databases
- education
- engineering
- graph theory
- image analysis
About this book
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.
The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Intelligent Data Analysis XVIII
Book Subtitle: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings
Editors: Michael R. Berthold, Ad Feelders, Georg Krempl
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-44584-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Softcover ISBN: 978-3-030-44583-6Published: 02 April 2020
eBook ISBN: 978-3-030-44584-3Published: 22 April 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 588
Number of Illustrations: 78 b/w illustrations, 132 illustrations in colour
Topics: Database Management, Data Mining and Knowledge Discovery, Computing Milieux, Machine Learning, Computer Systems Organization and Communication Networks