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CONCEPTUAL DATABASE EVOLUTION THROUGH LEARNING IN OBJECT DATABASES
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DOI：10.1109/69.277766.png)
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摘要
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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.
Keyword:
CONCEPTUAL DATABASE EVOLUTION
OBJECT DATABASES
APPLIED MACHINE LEARNING
EVOLUTION THROUGH LEARNING
END-USER DATABASE TOOLS
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10.4
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3.2W
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