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MEASURES FOR UNCERTAIN DATA. CASE STUDY ON DATA EXTRACTED FROM MASS MEDIA


ELENA NECHITA
“Vasile Alecsandri" University of Bacău, Faculty of Sciences, Department of Mathematics, Informatics and Educational Sciences, Calea Mărăşeşti 157, Bacău 600115, Romania, e-mail: enechita@ub.ro

Issue:

SSRSMI, Number 1, Volume XXIII

Section:

Volume 23, Number 1

Abstract:

In most of the applications related to real world situations, especially in those dealing with large data sets, uncertainty is unavoidable. Depending on the sources where data come from, uncertainty also comes in different facets. For the computer scientists, the challenge is to process these types of data in such a way that the end user receives the needed information with as much accuracy as possible. Therefore, specific methods had to be developed to deal with the uncertainty characteristic of the data.

This paper investigates and compares the information given by two measures of uncertainty, namely uncertainty density and answer decisiveness, when applied to a set of data extracted from mass media. As well, several issues related to uncertainty are going to be discussed for digital media, together with their implications.

Keywords:

Uncertainty, data quality, digital media.

Code [ID]:

SSRSMI201323V23S01A0010 [0003827]

Full paper:

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