Advanced Computational Methods for Knowledge Engineering [electronic resource] : Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria / edited by Thanh Binh Nguyen, Tien van Do, Hoai An Le Thi, Ngoc Thanh Nguyen.
Contributor(s): Nguyen, Thanh Binh [editor.] | van Do, Tien [editor.] | An Le Thi, Hoai [editor.] | Nguyen, Ngoc Thanh [editor.] | SpringerLink (Online service).
Material type: BookSeries: Advances in Intelligent Systems and Computing: 453Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XI, 296 p. 88 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319388847.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlinePart I. Advanced Optimization Methods and Their Applications -- Part II. Models for ICT Applications -- Part III. Topics on Discrete Mathematics -- Part IV. Data Analytic Methods and Applications -- Part V. Feature Extraction.
This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics. .
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