Integrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 10758Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XXII, 478 p. 115 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319754291

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

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

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

In: Springer Nature eBookSummary: 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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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.

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