Modeling Decisions for Artificial Intelligence 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014, Proceedings / [electronic resource] :
edited by Vicenç Torra, Yasuo Narukawa, Yasunori Endo.
- 1st ed. 2014.
- XVIII, 241 p. 47 illus. online resource.
- Lecture Notes in Artificial Intelligence, 8825 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 8825 .
Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy.
This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
9783319120546
10.1007/978-3-319-12054-6 doi
Artificial intelligence.
Pattern recognition systems.
Data mining.
Information storage and retrieval systems.
Numerical analysis.
Artificial Intelligence.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Numerical Analysis.
Q334-342 TA347.A78
006.3
Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy.
This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
9783319120546
10.1007/978-3-319-12054-6 doi
Artificial intelligence.
Pattern recognition systems.
Data mining.
Information storage and retrieval systems.
Numerical analysis.
Artificial Intelligence.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Numerical Analysis.
Q334-342 TA347.A78
006.3