Advances in Intelligent Data Analysis XVIII
18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings
Editors: Berthold, Michael R., Feelders, Ad, Krempl, Georg (Eds.)
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- About this book
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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.
- Table of contents (45 chapters)
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Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder
Pages 1-13
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Dual Sequential Variational Autoencoders for Fraud Detection
Pages 14-26
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A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
Pages 27-39
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Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
Pages 40-53
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GraphMDL: Graph Pattern Selection Based on Minimum Description Length
Pages 54-66
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Table of contents (45 chapters)
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Bibliographic Information
- Bibliographic Information
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- 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
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- Michael R. Berthold
- Ad Feelders
- Georg Krempl
- Series Title
- Information Systems and Applications, incl. Internet/Web, and HCI
- Series Volume
- 12080
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s)
- eBook ISBN
- 978-3-030-44584-3
- DOI
- 10.1007/978-3-030-44584-3
- Softcover ISBN
- 978-3-030-44583-6
- Edition Number
- 1
- Number of Pages
- XIV, 588
- Number of Illustrations
- 78 b/w illustrations, 132 illustrations in colour
- Topics
