Scalable Uncertainty Management: 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014, Proceedings (Lecture Notes in Computer Science, 8720)
Language: English
Published by Springer, 2014
- Softcover
- New

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- Title
- Scalable Uncertainty Management: 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014, Proceedings (Lecture Notes in Computer Science, 8720)
- Publisher
- Springer
- Publication year
- 2014
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319115073
- ISBN 13
- 9783319115078
This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 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.
"About the title" may belong to another edition of this title.
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