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Strengthening Links Between Data Analysis and Soft Computing de Przemyslaw Grzegorzewski

Strengthening Links Between Data Analysis and Soft Computing: Advances in Intelligent Systems and Computing, cartea 315

Editat de Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz, María Ángeles Gil
en Limba Engleză Paperback – 25 sep 2014
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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Specificații

ISBN-13: 9783319107646
ISBN-10: 331910764X
Pagini: 308
Ilustrații: XII, 294 p. 42 illus., 3 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:2015
Editura: Springer
Colecția Advances in Intelligent Systems and Computing
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Soft methods in uncertainty modeling and processing.- Soft methods in statistics.- Soft methods in data analysis.

Textul de pe ultima copertă

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.