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Modeling decisions for artificial intelligence : 11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings / Vicenç Torra, Yasuo Narukawa, Yasunori Endo (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 8825. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, 2014Description: 1 online resource (xviii, 241 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319120546
  • 3319120549
Other title:
  • MDAI 2014
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334
Online resources:
Contents:
Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy.
In: Springer eBooksSummary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 12, 2014).

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.

English.

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