Integrated uncertainty in knowledge modelling and decision making : 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings / edited by Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux.

By:

(6th : IUKM (Symposium) (6th : 2018 : Hanoi, Vietnam)

Contributor(s):

Material type: Text

TextSeries: Lecture notes in computer science ; 10758.Publisher: Cham : Springer, 2018Description: 1 online resource (XXII, 478 pages) : 115 illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319754291
3319754297

Subject(s): Genre/Form:

Additional physical formats: Printed edition:: No titleDDC classification:

003/.54 23

LOC classification:

Q375 .I95 2013

Online resources:

Click here to access online

Contents:

Uncertainty management and decision support -- Clustering and classification -- Machine learning applications.- Statistical methods -- Econometric applications.

Summary: This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018. The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.

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Title notes ( 2 )

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Uncertainty management and decision support -- Clustering and classification -- Machine learning applications.- Statistical methods -- Econometric applications.

This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018. The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.