Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Advanced Computational Methods for Knowledge Engineering
Details
This proceedings book contains 37 papers selected from the submissions to the 6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), which was held on 1920 December, 2019, in Hanoi, Vietnam. The book covers theoretical and algorithmic as well as practical issues connected with several domains of Applied Mathematics and Computer Science, especially Optimization and Data Science. The content is divided into four major sections: Nonconvex Optimization, DC Programming & DCA, and Applications; Data Mining and Data Processing; Machine Learning Methods and Applications; and Knowledge Information and Engineering Systems. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools & techniques for their own work.
Presents recent advances in Computational Methods for Knowledge Engineering Gathers the proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019, held on Dec 1920, 2019, in Hanoi, Vietnam Explores the links between Computer Science and Applied Mathematics and presents solutions to real-world problems
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030383633
- Auflage 1st edition 2020
- Editor Hoai An Le Thi, Ngoc Thanh Nguyen, Tao Pham Dinh, Hoai Minh Le
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H235mm x B155mm x T24mm
- Jahr 2019
- EAN 9783030383633
- Format Kartonierter Einband
- ISBN 3030383636
- Veröffentlichung 20.12.2019
- Titel Advanced Computational Methods for Knowledge Engineering
- Untertitel Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019
- Gewicht 663g
- Herausgeber Springer International Publishing
- Anzahl Seiten 440