Advanced Statistical Methods for the Analysis of Large Data-Sets
Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data, transaction-based d...
Enregistré dans:
| Autres auteurs: | , , |
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| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2012.
Cham : Springer Nature |
| Collection: | Selected Papers of the Statistical Societies
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced Statistical Methods for the Analysis of Large Data-Sets, Texte imprimé, 9783642210365 • Advanced Statistical Methods for the Analysis of Large Data-Sets, Texte imprimé, 9783642210389 • Advanced Statistical Methods for the Analysis of Large Data-Sets, Texte imprimé, 9783642443404 |
| Résumé: | Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data, transaction-based data, medical data and financial time-series. Standard statistical techniques are usually not well suited to manage this type of data and many authors have proposed extensions of classical techniques or completely new methods. The huge size of these data-sets and their complexity require new strategies of analysis sometimes subsumed under the terms data mining or predictive analytics . This volume contains a peer review selection of papers, whose preliminary version was presented at the international meeting of the Italian Statistical Society Statistical Methods for the analysis of large data-sets . It collects new ideas, methods and original applications to deal with the complexity and high dimensionality of data. |
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| Description: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783642210372 |
| ISSN: | 2946-1804 |
| Accès: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |

