Scalable Uncertainty Management 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings /

This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Beierle, Christoph (Editor ), Dekhtyar, Alex (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Artificial Intelligence, 9310
Temas:
Artificial intelligence.
Application software.
Information storage and retrieval systems.
Computer networks .
Database management.
Data mining.
Artificial Intelligence.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Computer Communication Networks.
Database Management.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
Descripción Física:XIX, 421 p. 77 illus. online resource.
ISBN:9783319235400
ISSN:2945-9141 ;

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