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Uncertainty modelling in data science

Destercke, Sebastien.

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Uncertainty modelling in data science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty modelling in data science/ edited by Sebastien Destercke ... [et al.].
other author:	Destercke, Sebastien.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xi, 234 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Imprecise statistical inference for accelerated life testing data: imprecision related to the log-rank test (Abdullah Ahmadini) -- Chapter 2. Descriptive comparison of the rating scales through diﬀerent scale estimates. Simulation-based analysis (Irene Arellano) -- Chapter 3. Central Moments of a Fuzzy Random Variable using the Signed Distance: a Look towards the Variance (Redina Berkachy) -- Chapter 4. On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency (Michal Burda) etc.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-97547-4
ISBN:	9783319975474

Uncertainty modelling in data science
Uncertainty modelling in data science[electronic resource] /edited by Sebastien Destercke ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 234 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.8322194-5357 ;. - Advances in intelligent systems and computing ;v.832..

Chapter 1. Imprecise statistical inference for accelerated life testing data: imprecision related to the log-rank test (Abdullah Ahmadini) -- Chapter 2. Descriptive comparison of the rating scales through diﬀerent scale estimates. Simulation-based analysis (Irene Arellano) -- Chapter 3. Central Moments of a Fuzzy Random Variable using the Signed Distance: a Look towards the Variance (Redina Berkachy) -- Chapter 4. On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency (Michal Burda) etc.

ISBN: 9783319975474

Standard No.: 10.1007/978-3-319-97547-4doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / U53 2019

Dewey Class. No.: 005.7

Uncertainty modelling in data science
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020 $a 9783319975467 $q (paper)
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245 0 0 $a Uncertainty modelling in data science $h [electronic resource] / $c edited by Sebastien Destercke ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 234 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.832
505 0 $a Chapter 1. Imprecise statistical inference for accelerated life testing data: imprecision related to the log-rank test (Abdullah Ahmadini) -- Chapter 2. Descriptive comparison of the rating scales through diﬀerent scale estimates. Simulation-based analysis (Irene Arellano) -- Chapter 3. Central Moments of a Fuzzy Random Variable using the Signed Distance: a Look towards the Variance (Redina Berkachy) -- Chapter 4. On Missing Membership Degrees: Modelling Non-existence, Ignorance and Inconsistency (Michal Burda) etc.
650 0 $a Big data. $3 2045508
650 0 $a Machine learning. $3 533906
650 0 $a Data mining. $3 562972
650 0 $a Quantitative research. $3 919734
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Destercke, Sebastien. $3 2157648
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Advances in intelligent systems and computing ; $v v.832. $3 3378769
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-97547-4
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