Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11828)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: DS 2019.
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About this book
This book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia, in October 2019.
The 21 full and 19 short papers presented together with 3 abstracts of invited talks in this volume were carefully reviewed and selected from 63 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Advanced Machine Learning; Applications; Data and Knowledge Representation; Feature Importance; Interpretable Machine Learning; Networks; Pattern Discovery; and Time Series.
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Keywords
- artificial intelligence
- association rules
- classification
- clustering
- clustering algorithms
- computational creativity
- computer vision
- data mining
- data points
- data stream
- information extraction
- knowledge discovery
- knowledge transfer
- learning algorithms
- machine learning
- pattern recognition
- problem solving
- semantics
- signal processing
- text mining
Table of contents (40 papers)
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Pattern Discovery
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Time Series
Other volumes
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Discovery Science
Editors and Affiliations
Bibliographic Information
Book Title: Discovery Science
Book Subtitle: 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings
Editors: Petra Kralj Novak, Tomislav Šmuc, Sašo Džeroski
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33778-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33777-3Published: 19 October 2019
eBook ISBN: 978-3-030-33778-0Published: 18 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 546
Number of Illustrations: 74 b/w illustrations, 148 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Theory of Computation, Computer Imaging, Vision, Pattern Recognition and Graphics, Software Engineering/Programming and Operating Systems