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<p>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.</p>
learning (artificial intelligence); object-oriented databases; software tools; data structures; deductive databases; conceptual database evolution; cooperative user/system database design; object databases; conceptual structure; meta-data evolution; machine learning techniques; end-user database evolution tool

D. McLeod and Q. Li, "Conceptual Database Evolution Through Learning in Object Databases," in IEEE Transactions on Knowledge & Data Engineering, vol. 6, no. , pp. 205-224, 1994.
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