Quality Measures in Uncertain Data Management

Ander de Keijzer, Maurice van Keulen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
45 Downloads (Pure)

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.
Original languageUndefined
Title of host publicationProceedings of the First International Conference on Scalable Uncertainty Management (SUM2007)
EditorsH. Prade, V.S. Subrahmanian
Place of PublicationBerlin
PublisherSpringer
Pages104-115
Number of pages12
ISBN (Print)978-3-540-75407-7
DOIs
Publication statusPublished - 10 Oct 2007
Event1st International Conference on Scalable Uncertainty Management 2007 - Washington, United States
Duration: 10 Oct 200712 Oct 2007
Conference number: 1

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
NumberLNCS4549
Volume4772

Conference

Conference1st International Conference on Scalable Uncertainty Management 2007
Abbreviated titleSUM 2007
CountryUnited States
CityWashington
Period10/10/0712/10/07

Keywords

  • EWI-10727
  • IR-64233
  • METIS-242190
  • DB-SDI: SCHEMA AND DATA INTEGRATION

Cite this

de Keijzer, A., & van Keulen, M. (2007). Quality Measures in Uncertain Data Management. In H. Prade, & V. S. Subrahmanian (Eds.), Proceedings of the First International Conference on Scalable Uncertainty Management (SUM2007) (pp. 104-115). [10.1007/978-3-540-75410-7_8] (Lecture Notes in Computer Science; Vol. 4772, No. LNCS4549). Berlin: Springer. https://doi.org/10.1007/978-3-540-75410-7_8