Conceptual Database Evolution Through Learning in Object Databases.
Qing Li, Dennis McLeod:
Conceptual Database Evolution Through Learning in Object Databases.
IEEE Trans. Knowl. Data Eng. 6(2): 205-224(1994)@article{DBLP:journals/tkde/LiM94,
author = {Qing Li and
Dennis McLeod},
title = {Conceptual Database Evolution Through Learning in Object Databases},
journal = {IEEE Trans. Knowl. Data Eng.},
volume = {6},
number = {2},
year = {1994},
pages = {205-224},
ee = {db/journals/tkde/LiM94.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Changes to the conceptual structure (meta-data) of a
database are common in many application environments, and
are in general inadequately supported by existing database
systems. An approach to supporting such meta-data
evolution in a simple, extensible, object database
environment is presented. Machine learning techniques are
the basis for a cooperative user/system database design and
evolution methodology. An experimental end-user database
evolution tool based on this approach has been designed and
implemented.
Copyright © 1994 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
CDROM Version: Load the CDROM "Volume 3 Issue 3, TKDE 1993-1995" and ...
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BibTeX
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Referenced by
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Data Mining and Modeling in Scientific Databases.
SSDBM 1997: 24-27
BibTeX
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