Skip to main content

Uncertainty in Events

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 22 Accesses

Synonyms

Event uncertainty

Definition

Uncertainty in events is uncertainty regarding either the occurrence of an event, or uncertainty regarding the data values associated with an event. This uncertainty is a result of a gap between the actual occurrences of events in the real world, and the availability of knowledge regarding the events.

Historical Background

The first event-based systems were active databases, in which automatic actions were carried out as a result of database queries. This was done using the ECA(Event-Condition-Action) paradigm. However, in many such database applications, the events of interest were not the results of single queries, (e.g., insertion or deletion of data), but rather could be deterministically inferred from several such queries. To facilitate such inferences, event inference languages were defined. Initially such languages were specific to active databases (e.g., SNOOP and ODE). However, more general languages were developed suitable for...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Balazinska M, Khoussainova N, Suciu D. PEEX: extracting probabilistic events from rd data. In: Proceedings of the 24th International Conference on Data Engineering; 2008.

    Google Scholar 

  2. Halpern JY. Reasoning about uncertainty. Cambridge, MA: MIT Press; 2003.

    MATH  Google Scholar 

  3. Li C-S, Aggarwal C, Campbell M, Chang Y.-C, Glass G, Iyengar V, Joshi M, Lin C-Y, Naphade M, Smith JR. Epi-spire: a system for environmental and public health activity monitoring. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2003.

    Google Scholar 

  4. Luckham D. The power of events: an introduction to complex event processing in distributed enterprise systems. Reading: Addison-Wesley; 2002.

    Google Scholar 

  5. Patton NW. Active rules in database systems. Berlin: Springer; 1999.

    Book  Google Scholar 

  6. Wasserkrug S, Gal A, Etzion O. A model for reasoning with uncertain rules in event composition systems. In: Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence; 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Segev Wasserkrug .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Wasserkrug, S. (2018). Uncertainty in Events. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_575

Download citation

Publish with us

Policies and ethics