The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Efficiently monitoring relational databases
Abstract
An alerter is a program which monitors a database and reports to some user or program when a specified condition occurs. It may be that the condition is a complicated expression involving several entities in the database; in this case the evaluation of the expression may be computationally expensive. A scheme is presented in which alerters may be placed on a complex query involving a relational database, and a method is demonstrated for reducing the amount of computation involved in checking whether an alerter should be triggered.
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Citations
Cites
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
Cited by
Stonebraker, M., & Rowe, L. A. (1986) · ACM SIGMOD Record · doi:10.1145/16856.16888 · Cited by 696
Maintaining views incrementally
Gupta, A., Mumick, I. S., & Subrahmanian, V. S. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170066 · Cited by 654
Metadata
- Authors
- Buneman, O. P., & Clemons, E. K.
- Venue
- ACM Transactions on Database Systems
- Published
- 1979-09
- Volume
- 4
- Issue
- 3
- Pages
- 368-382
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2150282015
- Cited by
- 182
- References
- 1
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Efficiently monitoring relational databases. https://app.cochat.ai/papers/10.1145/320083.320099
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- Buneman, O. P., & Clemons, E. K. (1979). Efficiently monitoring relational databases. ACM Transactions on Database Systems. https://doi.org/10.1145/320083.320099
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
