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Using knowledge discovery techniques for database schema refinement
1999 (English)In: Proceedings of the 32nd Annual Hawaii International Conference on System Sciences: January 5 - 8, 1999, Maui, Hawaii : abstracts and CD-ROM of full papers / [ed] Ralph H. Sprague, Los Alamitos, Calif: IEEE Communications Society, 1999Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes the automated translation of rules extracted from data mining or knowledge discovery tools into active database rules. We term this process of translating a knowledge discovery rule and incorporating it into a database schema in the form of an ECA (event-condition-action) rule as database schema refinement. We introduce a new rule identification measure for categorising knowledge discovery rules into semantic integrity constraints and probabilistic rules, which forms the basis for determining the mode of constraint enforcement in the enriched schema. This measure is based on database statistics and history. Using this measure we estimate and model both the static and dynamic characteristics of a given rule. The rule classification process is followed by the generation of the ECA equivalents. We present a generic technique and show how this is implemented in an Oracle database. Finally, the monitoring of the database scheme refinement process and the transition of a rule from one state to another are discussed

Place, publisher, year, edition, pages
Los Alamitos, Calif: IEEE Communications Society, 1999.
Identifiers
URN: urn:nbn:se:ltu:diva-32648DOI: 10.1109/HICSS.1999.772604Local ID: 734b25b0-cf45-11dc-9ad7-000ea68e967bISBN: 0-7695-0001-3 (print)OAI: oai:DiVA.org:ltu-32648DiVA, id: diva2:1005882
Conference
Annual Hawaii International Conference on System Sciences : 05/01/1999 - 08/01/1999
Note
Upprättat; 1999; Bibliografisk uppgift: HICSS, 32; 20080130 (cira)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-11Bibliographically approved

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Zaslavsky, Arkady

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