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Tutorial Database Mining.

Rakesh Agrawal: Tutorial Database Mining. PODS 1994: 75-76
@inproceedings{DBLP:conf/pods/Agrawal94,
  author    = {Rakesh Agrawal},
  title     = {Tutorial Database Mining},
  booktitle = {Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium
               on Principles of Database Systems, May 24-26, 1994, Minneapolis,
               Minnesota},
  publisher = {ACM Press},
  year      = {1994},
  isbn      = {0-89791-642-5},
  pages     = {75-76},
  ee        = {http://doi.acm.org/10.1145/182591.182600, db/conf/pods/pods94-75.html},
  crossref  = {DBLP:conf/pods/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

We view database mining as the efficient construction and verification of models of patterns embedded in large databases. Many of the database mining problems have been motivated by the practical decision support problems faced by most large retail organizations. In the Quest project at the IBM Almaden Research center, we have focussed on three classes of database mining problems involving classification, associations, and sequences. In this tutorial, I will draw upon my Quest experience to present my perspective of database mining, describe current work, and present some open problems.

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

Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, May 24-26, 1994, Minneapolis, Minnesota. ACM Press 1994, ISBN 0-89791-642-5
Contents BibTeX

Online Edition: ACM Digital Library

[Abstract and Index Terms]
[Abstract in PDF Format, 121 KB]

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BibTeX
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