Discovery Science - neues Buch

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ISBN/EAN: 9783030337780

ISBN - alternative Schreibweisen:
978-3-030-33778-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: tom, kral

Daten vom Verlag:

Autor/in: Petra Kralj Novak; Tomislav Šmuc; Sašo Džeroski
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings
Verlag: Springer; Springer International Publishing
546 Seiten
Erscheinungsjahr: 2019-10-18
Cham; CH
Sprache: Englisch
85,59 € (DE)
88,00 € (AT)
94,50 CHF (CH)
Available
XXII, 546 p. 222 illus., 148 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; 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; C; Artificial Intelligence; Data Mining and Knowledge Discovery; Theory of Computation; Computer Imaging, Vision, Pattern Recognition and Graphics; Software Engineering; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; Theoretische Informatik; Bildverarbeitung; Software Engineering; BC

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.

Advanced Machine Learning.- Applications.- Data and Knowledge Representation.- Feature Importance.- Interpretable Machine Learning.- Networks.- Pattern Discovery.- Time Series.