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Abstract
Uncertainty is an inherent property of all measurements, statistics, or generally all communication involving numbers. Whenever numerical data is communicated, the uncertainty or confidence in this data should also be included. Neglecting it, or communicating it in an ambiguous way, leads to misinterpretation and misunderstandings. There are some well-known and proven patterns to avoid such problems. In this paper we present a collection of patterns for the communication of numerical uncertainty. These patterns revolve around three areas of applications: textual, numerical, and graphical. For numerical representations the pattern Numbers with Uncertainties is shown. For textual descriptions Words of Estimative Probability, Numeric Hedge Words and Quantitative Comparisons are explained, and for graphical visualization Error Indicator and Distribution Plots are described. The paper is targeted towards communicators, visualizers, reporters, as well as developers, engineers, and researchers of solutions for problems which involve uncertainty.
Originalsprache | englisch |
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Titel | Proceedings of the 24th European Conference on Pattern Languages of Programs, EuroPLoP 2019 |
Herausgeber (Verlag) | Association of Computing Machinery |
Seitenumfang | 15 |
ISBN (elektronisch) | 9781450362061 |
DOIs | |
Publikationsstatus | Veröffentlicht - Okt. 2019 |
Veranstaltung | 24th European Conference on Pattern Languages of Programs: EuroPLoP 2019 - Irsee, Deutschland Dauer: 3 Juli 2019 → 7 Juli 2019 |
Publikationsreihe
Name | ACM International Conference Proceeding Series |
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Konferenz
Konferenz | 24th European Conference on Pattern Languages of Programs |
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Land/Gebiet | Deutschland |
Ort | Irsee |
Zeitraum | 3/07/19 → 7/07/19 |
ASJC Scopus subject areas
- Human-computer interaction
- Computernetzwerke und -kommunikation
- Maschinelles Sehen und Mustererkennung
- Software
Fields of Expertise
- Information, Communication & Computing
Treatment code (Nähere Zuordnung)
- Application
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