Scalable Uncertainty Management

Scalable Uncertainty Management

by Christoph Beierle and Alex Dekhtyar
Epub (Kobo), Epub (Adobe)
Publication Date: 15/09/2015

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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.

ISBN:
9783319235400
9783319235400
Category:
Artificial intelligence
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
15-09-2015
Language:
English
Publisher:
Springer International Publishing

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