Advances in Intelligent Data Analysis XVIII

18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings

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Contributor(s)
Berthold, Michael (editor) cc
Feelders, Ad (editor) cc
Krempl, Georg (editor) cc
Language
English
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Abstract
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.
URI
http://library.oapen.org/handle/20.500.12657/37720
Keywords
Database Management; Data Mining and Knowledge Discovery; Computing Milieux; Machine Learning; Computer Systems Organization and Communication Networks; 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; Databases; Database programming; Data mining; Expert systems / knowledge-based systems; Information technology: general issues; Machine learning; Computer networking & communications
DOI
10.1007/978-3-030-44584-3
Publisher
Springer Nature
Publisher website
https://www.springernature.com/gp/products/books
Publication date and place
Cham, 2020
Imprint
Springer
Series
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI, 12080
Classification
Databases
Data mining
Information technology: general topics
Machine learning
Computer networking and communications
Pages
588
Rights
http://creativecommons.org/licenses/by/4.0/