1 option
Modeling Decision for Artificial Intelligence : 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings / edited by Vicenc Torra, Yasuo Narukawa, Jianping Yin, Jun Long.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 6820.
- Lecture Notes in Artificial Intelligence ; 6820
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Data mining.
- Database management.
- Computer networks.
- Algorithms.
- Artificial Intelligence.
- Information Systems Applications (incl. Internet).
- Data Mining and Knowledge Discovery.
- Database Management.
- Computer Communication Networks.
- Algorithm Analysis and Problem Complexity.
- Local Subjects:
- Artificial Intelligence.
- Information Systems Applications (incl. Internet).
- Data Mining and Knowledge Discovery.
- Database Management.
- Computer Communication Networks.
- Algorithm Analysis and Problem Complexity.
- Physical Description:
- 1 online resource (XIII, 259 pages).
- Edition:
- First edition 2011.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011, held in Changsha, China, in July 2011. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-22589-5
- 9783642225895
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.