DBLearn: A System Prototype for Knowledge Discovery in Relational Databases.

Jiawei Han, Yongjian Fu, Yue Huang, Yandong Cai, Nick Cercone: DBLearn: A System Prototype for Knowledge Discovery in Relational Databases. SIGMOD Conference 1994: 516

@inproceedings{DBLP:conf/sigmod/HanFHCC94,
  author    = {Jiawei Han and
               Yongjian Fu and
               Yue Huang and
               Yandong Cai and
               Nick Cercone},
  editor    = {Richard T. Snodgrass and
               Marianne Winslett},
  title     = {DBLearn: A System Prototype for Knowledge Discovery in Relational
               Databases},
  booktitle = {Proceedings of the 1994 ACM SIGMOD International Conference on
               Management of Data, Minneapolis, Minnesota, May 24-27, 1994},
  publisher = {ACM Press},
  year      = {1994},
  pages     = {516},
  ee        = {http://doi.acm.org/10.1145/191839.191979, db/conf/sigmod/sigmod94-516.html},
  crossref  = {DBLP:conf/sigmod/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

A prototyped data mining system, DBLearn, has been developed, which efficiently and effectively extracts different kinds of knowledge rules from relational databases. It has the following features: high level learning interfaces, tightly integrated with commercial relational database systems, automatic refinement of concept hierarchies, efficient discovery algorithms and good performance. Substantial extensions of its knowledge discovery power towards knowledge mining in object-oriented, deductive and spatial databases are under research and development.

Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Printed Edition

Richard T. Snodgrass, Marianne Winslett (Eds.): Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, May 24-27, 1994. ACM Press 1994 BibTeX , SIGMOD Record 23(2), June 1994
Contents

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[Abstract and Index Terms]
[Full Text in PDF Format, 91 KB]

References

[1]: ...
[2]: Jiawei Han, Yandong Cai, Nick Cercone: Knowledge Discovery in Databases: An Attribute-Oriented Approach. VLDB 1992: 547-559 BibTeX
[3]: Jiawei Han, Yandong Cai, Nick Cercone: Data-Driven Discovery of Quantitative Rules in Relational Databases. IEEE Trans. Knowl. Data Eng. 5(1): 29-40(1993) BibTeX
[4]: Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX
[5]: Abraham Silberschatz, Michael Stonebraker, Jeffrey D. Ullman: Database Systems: Achievements and Opportunities. Commun. ACM 34(10): 110-120(1991) BibTeX

Referenced by

Chien-Le Goh, Masahiko Tsukamoto, Shojiro Nishio: Fast Methods with Magic Sampling for Knowledge Discovery in Deductive Databases with Large Deduction Results. ER Workshops 1998: 14-28

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