An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases.

@inproceedings{DBLP:conf/icde/CaiCH90,
  author    = {Yandong Cai and
               Nick Cercone and
               Jiawei Han},
  title     = {An Attribute-Oriented Approach for Learning Classification Rules
               from Relational Databases},
  booktitle = {Proceedings of the Sixth International Conference on Data Engineering,
               February 5-9, 1990, Los Angeles, California, USA},
  publisher = {IEEE Computer Society},
  year      = {1990},
  isbn      = {0-8186-2025-0},
  pages     = {281-288},
  ee        = {db/conf/icde/CaiCH90.html},
  crossref  = {DBLP:conf/icde/90},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1990 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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Referenced by

1. John F. Roddick, Noel G. Craske, Thomas J. Richards: Handling Discovered Structure in Database Systems. IEEE Trans. Knowl. Data Eng. 8(2): 227-240(1996)
2. Yue-Ming Huan, Shian-Hua Lin: An Efficient Inductive Learning Method for Object-Oriented Database Using Attribute Entropy. IEEE Trans. Knowl. Data Eng. 8(6): 946-951(1996)
3. Jong P. Yoon, Larry Kerschberg: A Framework for Knowledge Discovery and Evolution in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 973-979(1993)
4. 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)