Synergies of Soft Computing and Statistics for Intelligent Data Analysis
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situatio...
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| Autor principal: | |
|---|---|
| Outros Autores: | , , , , , , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2013. |
| Colecção: | Advances in Intelligent Systems and Computing
190 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330414 • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330438 • Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Texte imprimé, 9783642330414 |
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| 100 | 1 | |a Kruse, Rudolf. | |
| 245 | 1 | 0 | |a Synergies of Soft Computing and Statistics for Intelligent Data Analysis |c edited by Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Advances in Intelligent Systems and Computing |v 190 |x 2194-5365 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a PART I Invited Papers PART II Foundations PART III Statistical Methods PART IV Mathematical Aspects PART V Engineering | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled.About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. 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 | ||
| 700 | 1 | |a Berthold, Michael R. |4 edt | |
| 700 | 1 | |a Moewes, Christian. |4 edt | |
| 700 | 1 | |a Gil, María Ángeles. |4 edt | |
| 700 | 1 | |a Grzegorzewski, Przemysław. |4 edt | |
| 700 | 1 | |a Hryniewicz, Olgierd. |4 edt | |
| 700 | 1 | |a Kruse, Rudolf, |d 1952- |4 edt | |
| 700 | 1 | |a Berthold, Michael R., |d 1966- |4 edt | |
| 700 | 1 | |a Moewes, Christian, |d 19..- |4 edt | |
| 700 | 1 | |a Grzegorzewski, Przemysław. |4 edt | |
| 700 | 1 | |a Hryniewicz, Olgierd. |4 edt | |
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| 776 | 0 | |t Synergies of Soft Computing and Statistics for Intelligent Data Analysis |b Texte imprimé |z 9783642330438 | |
| 776 | 0 | |t Synergies of Soft Computing and Statistics for Intelligent Data Analysis |b Texte imprimé |z 9783642330414 | |
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