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Advanced Computational Methods for Knowledge Engineering [electronic resource] / edited by Ngoc Thanh Nguyen, Tien Do, Hoai An Thi.

By: Nguyen, Ngoc Thanh [editor.].
Contributor(s): Do, Tien [editor.] | Thi, Hoai An [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 479Publisher: Heidelberg : Springer International Publishing : Imprint: Springer, 2013Description: XIV, 392 p. 105 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319002934.Subject(s): Engineering | Computer vision | Engineering | Computational Intelligence | Image Processing and Computer Vision | Mathematical Modeling and Industrial MathematicsDDC classification: 006.3 Online resources: Click here to access online
Contents:
Advanced Optimization Methods and Their Applications -- Queuing Theory and Applications -- Computational Methods for Knowledge Engineering -- Knowledge Engineering with Cloud and Grid Computing -- Logic Based Methods for Decision Making and Data Mining.
In: Springer eBooksSummary: The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queueing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering.
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Advanced Optimization Methods and Their Applications -- Queuing Theory and Applications -- Computational Methods for Knowledge Engineering -- Knowledge Engineering with Cloud and Grid Computing -- Logic Based Methods for Decision Making and Data Mining.

The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queueing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering.

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