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A Scalable Bottum-Up Data Mining Algorithm for Relational Databases.

Giovanni Giuffrida, Lee G. Cooper, Wesley W. Chu: A Scalable Bottum-Up Data Mining Algorithm for Relational Databases. SSDBM 1998: 206-209
@inproceedings{DBLP:conf/ssdbm/GiuffridaCC98,
  author    = {Giovanni Giuffrida and
               Lee G. Cooper and
               Wesley W. Chu},
  editor    = {Maurizio Rafanelli and
               Matthias Jarke},
  title     = {A Scalable Bottum-Up Data Mining Algorithm for Relational Databases},
  booktitle = {10th International Conference on Scientific and Statistical Database
               Management, Proceedings, Capri, Italy, July 1-3, 1998},
  publisher = {IEEE Computer Society},
  year      = {1998},
  isbn      = {0-8186-8575-1},
  pages     = {206-209},
  ee        = {db/conf/ssdbm/GiuffridaCC98.html},
  crossref  = {DBLP:conf/ssdbm/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Copyright © 1998 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Printed Edition

Maurizio Rafanelli, Matthias Jarke (Eds.): 10th International Conference on Scientific and Statistical Database Management, Proceedings, Capri, Italy, July 1-3, 1998. IEEE Computer Society 1998, ISBN 0-8186-8575-1
Contents BibTeX

References

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Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo: Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996: 307-328 BibTeX
[2]
Rakesh Agrawal, Kyuseok Shim: Developing Tightly-Coupled Data Mining Applications on a Relational Database System. KDD 1996: 287-290 BibTeX
[3]
John M. Aronis, Foster J. Provost: Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation. KDD 1997: 119-122 BibTeX
[4]
Peter Clark, Tim Niblett: The CN2 Induction Algorithm. Machine Learning 3: 261-283(1989) BibTeX
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William W. Cohen: Fast Effective Rule Induction. ICML 1995: 115-123 BibTeX
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Pedro Domingos: Linear-Time Rule Induction. KDD 1996: 96-101 BibTeX
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Pedro Domingos: Unifying Instance-Based and Rule-Based Induction. Machine Learning 24(2): 141-168(1996) BibTeX
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George H. John, Brian Lent: SIPping from the Data Firehose. KDD 1997: 199-202 BibTeX
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Manish Mehta, Rakesh Agrawal, Jorma Rissanen: SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996: 18-32 BibTeX
[13]
Foster J. Provost, Venkateswarlu Kolluri: Scaling Up Inductive Algorithms: An Overview. KDD 1997: 239-242 BibTeX
[14]
J. Ross Quinlan: C4.5: Programs for Machine Learning. Morgan Kaufmann 1993, ISBN 1-55860-238-0
BibTeX

Referenced by

  1. Giovanni Giuffrida, Wesley W. Chu, Dominique M. Hanssens: Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes. EDBT 2000: 335-349
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