ACM SIGMOD Anthology TKDE dblp.uni-trier.de

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}
}

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.


Joint ACM SIGMOD / IEEE Computer Society Anthology

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Referenced by

  1. Epaminondas Kapetanios, Moira C. Norrie: Data Mining and Modeling in Scientific Databases. SSDBM 1997: 24-27

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