Quality Measures in Uncertain Data Management

Authors:
Ander Keijzer;Maurice Keulen
Affiliations:
Faculty of EEMCS, University of Twente, POBox 217, 7500AE Enschede, The Netherlands;Faculty of EEMCS, University of Twente, POBox 217, 7500AE Enschede, The Netherlands
Venue:
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
Year:
2007

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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: uncertainty density, answer decisiveness and adapted precision and recall measures.