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Integrated Uncertainty in Knowledge Modelling and Decision Making : International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011, Proceedings / edited by Yongchuan Tang, Van-Nam Huynh, Jonathan Lawry.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 7027
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 7027
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Database management.
- Information storage and retrieval systems.
- Data mining.
- Algorithms.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Database Management.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Database Management.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Algorithms.
- Physical Description:
- 1 online resource (XII, 272 pages) : 60 illustrations, 28 illustrations in color.
- Edition:
- 1st ed. 2011.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-24918-1
- 9783642249181
- Access Restriction:
- Restricted for use by site license.
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