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Modeling Decisions for Artificial Intelligence : 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings / edited by Vicenç Torra, Yasuo Narukawa, Aoi Honda, Sozo Inoue.
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 ; 10571.
- Lecture Notes in Artificial Intelligence ; 10571
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Pattern perception.
- Data mining.
- Application software.
- Information storage and retrieval.
- Numerical analysis.
- Artificial Intelligence.
- Pattern Recognition.
- Data Mining and Knowledge Discovery.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Numeric Computing.
- Local Subjects:
- Artificial Intelligence.
- Pattern Recognition.
- Data Mining and Knowledge Discovery.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Numeric Computing.
- Physical Description:
- 1 online resource (XVIII, 235 pages) : 57 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017. The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.
- Contents:
- Aggregation operators, fuzzy measures and integrals
- Clustering and classication
- Data privacy and security
- Data mining and applications.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-67422-3
- 9783319674223
- Access Restriction:
- Restricted for use by site license.
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