Several projects do research on this topic. In this paper, we introduce four measures to be used to assess and compare important characteristics of data and ...

Abstract. Many applications deal with data that is uncertain. Some ex- amples are applications dealing with sensor information, data integration.

Several projects do research on this topic. In this paper, we introduce four measures to be used to assess and compare important characteristics of data and ...

Abstract. Many applications deal with data that is uncertain. Some ex- amples are applications dealing with sensor information, data integration.

Many applications deal with data that is uncertain. Some examples are applications dealing with sensor information, data integration applications and ...

Aug 9, 2024 · As manufacturing becomes more automated, tracking measurement uncertainty becomes more important. This monitoring requires careful attention and ongoing effort.

Jun 3, 2024 · It helps ensure that experimental data is reliable and comparable in all fields. Guides like the GUM and VIM explain measurement uncertainty.

Explaining measures of uncertainty such as standard error, confidence interval, coefficient of variation and statistical significance and how they affect ...

Fingerprint. Dive into the research topics of 'Quality Measures in Uncertain Data Management'. Together they form a unique fingerprint.

The term data quality dimension has been widely used for a number of years to describe the measure of the quality of data. However, even amongst data quality ...