Strengthening Links Between Data Analysis and Soft Computing / edited by Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz, María Ángeles Gil.
Contributor(s): Grzegorzewski, Przemyslaw., editor literario
| Gagolewski, Marek., editor literario | Hryniewicz, Olgierd., editor literario | Gil, María Ángeles., editor literario
Material type: 
E-bookSeries: (Advances in Intelligent Systems and Computing,, 2194-5357 ;; 315); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (XII, 294 páginas 42 ilustraciones, 3 ilustraciones a color.).ISBN: 9783319107653.Subject: Soft ComputingOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.S63 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112727 |
Soft methods in uncertainty modeling and processing -- Soft methods in statistics -- Soft methods in data analysis.
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
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