Data Fusion in Information Retrieval
The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data...
Gardado en:
| Autor Principal: | |
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| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2012. |
| Series: | Adaptation, Learning, and Optimization
13 |
| Acceso en liña: | 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: | • Data Fusion in Information Retrieval, Texte imprimé, 9783642288654 • Data Fusion in Information Retrieval, Texte imprimé, 9783642448010 • Data Fusion in Information Retrieval, Texte imprimé, 9783642288678 • Data Fusion in Information Retrieval, Texte imprimé, 9783642288654 |
| Résumé: | The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others : - What are the key factors that affect the performance of data fusion algorithms significantly ? - What conditions are favorable to data fusion algorithms ? - CombSum and CombMNZ, which one is better ? and why ? - What is the rationale of using the linear combination method ? - How can the best fusion option be found under any given circumstances ? |
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| descrición da copia: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783642288661 |
| ISSN: | 1867-4542 |
| Acceso: | 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. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |