Conceptual Database Evolution Through Learning in Object Databases

Qing Li; D. McLeod

doi:10.1109/69.277766

Conceptual Database Evolution Through Learning in Object Databases

Qing Li
, D. McLeod

Research output: Journal article publication › Journal article › Academic research › peer-review

7 Citations (Scopus)

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. © 1994 IEEE

Original language	English
Pages (from-to)	205-224
Number of pages	20
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	6
Issue number	2
DOIs	https://doi.org/10.1109/69.277766
Publication status	Published - 1 Jan 1994
Externally published	Yes

Keywords

applied machine learning
Conceptual database evolution
end-user database tools
evolution through learning
object databases

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Computational Theory and Mathematics

More information

10.1109/69.277766

Cite this

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Conceptual Database Evolution Through Learning in Object Databases

Abstract

Keywords

ASJC Scopus subject areas

More information

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