Uncertain data: Representations, query processing, and applications

Tingjian Ge, Alex Dekhtyar, Judy Goldsmith

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


Uncertain data is common in many emerging applications. In this chapter, we start by surveying a few applications in sensor networks, ubiquitous computing, and scientific databases that require managing uncertain and probabilistic data. We then present two approaches to meeting this requirement. In the first approach, we propose a rich treatment of probability distributions in the system, in particular the SPO framework and the SP-algebra. In the second approach, we stay closer to a traditional DBMS, extended with tuple probabilities or attribute probability distributions, and study the semantics and efficient processing of queries.

Original languageEnglish
Title of host publicationAdvances in Probabilistic Databases for Uncertain Information Management
Number of pages42
StatePublished - 2013

Publication series

NameStudies in Fuzziness and Soft Computing
ISSN (Print)1434-9922

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics


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