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Scalable Uncertainty Management - 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings (Paperback, 2013 ed.) Loot Price: R1,591
Discovery Miles 15 910
Scalable Uncertainty Management - 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013,...

Scalable Uncertainty Management - 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings (Paperback, 2013 ed.)

Weiru Liu, V.S. Subrahmanian, Jef Wijsen

Series: Lecture Notes in Artificial Intelligence, 8078

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Loot Price R1,591 Discovery Miles 15 910 | Repayment Terms: R149 pm x 12*

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This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, 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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 8078
Release date: August 2013
First published: 2013
Editors: Weiru Liu • V.S. Subrahmanian • Jef Wijsen
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Paperback
Pages: 387
Edition: 2013 ed.
ISBN-13: 978-3-642-40380-4
Categories: Books > Computing & IT > Internet > Network computers
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-40380-8
Barcode: 9783642403804

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