Quality Measures in Uncertain Data Management

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Ander de Keijzer, Maurice van Keulen

Published: 10 Oct 2007, Last Modified: 26 Jan 2026Proceedings of the First International Conference on Scalable Uncertainty Management (SUM2007)EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Many applications deal with data that is uncertain. Some examples are applications dealing with sensor information, data integration applications and healthcare applications. Instead of these applications having to deal with the uncertainty, it should be the responsibility of the DBMS to manage all data including uncertain data. 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 systems.