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Abstract: Database dependencies, such as functional and multivalued dependencies, express the presence of structure in database relations, that can be utilised in the database design process. The discovery of database dependencies can be viewed as an induction problem, in which general rules (dependencies) are obtained from specific facts (the relation). This viewpoint has the advantage of abstracting away as much as possible from the particulars of the dependencies. The algorithms in this paper are... (Update)
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BibTeX entry: (Update)
Peter A. Flach and Iztok Savnik. Database dependency discovery: a machine learning approach. AI Communications, 1999. To appear. http://citeseer.ist.psu.edu/flach99database.html More
@misc{ flach99,
author = {Peter A. Flach and Iztok Savnik},
title = {Database {D}ependency {D}iscovery: {A} machine learning approach},
howpublished = {AI Communications,volume 12 (3): 139--160},
month = {November},
year = {1999},
keywords = {Induction, attribute dependency, database reverse engineering, data mining},
pdf = {inclusion dependencies\flach99 - database dependency discovery.pdf},
url = {citeseer.ist.psu.edu/flach99database.html},
url = {citeseer.ist.psu.edu/704702.html} }
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