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Integrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30- December 2, 2016, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 9978Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XXIV, 728 p. 191 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319490465
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Uncertainty Management and Decision Support -- Soft Clustering and Classification -- Machine Learning for Social Media Analytics -- Biomedical and Image Applications -- Data Mining and Applications -- Statistical Methods -- Econometric Applications.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
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Uncertainty Management and Decision Support -- Soft Clustering and Classification -- Machine Learning for Social Media Analytics -- Biomedical and Image Applications -- Data Mining and Applications -- Statistical Methods -- Econometric Applications.

This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

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