ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

The KDD Process for Extracting Useful Knowledge from Volumes of Data.

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: The KDD Process for Extracting Useful Knowledge from Volumes of Data. Commun. ACM 39(11): 27-34(1996)
@article{DBLP:journals/cacm/FayyadPS96,
  author    = {Usama M. Fayyad and
               Gregory Piatetsky-Shapiro and
               Padhraic Smyth},
  title     = {The KDD Process for Extracting Useful Knowledge from Volumes
               of Data},
  journal   = {Commun. ACM},
  volume    = {39},
  number    = {11},
  year      = {1996},
  pages     = {27-34},
  ee        = {db/journals/cacm/FayyadPS96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Knowledge Discovery in Databases creates the context for developing the tools needed to control the flood of data facing organizations that depend on ever-growing databases of business, manufacturing, scientific, and personal information.

Copyright © 1996 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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References

[1]
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 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[2]
John F. Elder IV, Daryl Pregibon: A Statistical Perspective on Knowledge Discovery in Databases. Advances in Knowledge Discovery and Data Mining 1996: 83-113 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[3]
Usama M. Fayyad, Ramasamy Uthurusamy (Eds.): Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August 20-21, 1995. AAAI Press 1995, ISBN 0-929280-82-2
Contents CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[4]
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. Advances in Knowledge Discovery and Data Mining 1996: 1-34 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[5]
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996, ISBN 0-262-56097-6
Contents CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[6]
David Heckerman: Bayesian Networks for Knowledge Discovery. Advances in Knowledge Discovery and Data Mining 1996: 273-305 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[7]
Pat Langley, Herbert A. Simon: Applications of Machine Learning and Rule Induction. Commun. ACM 38(11): 54-64(1995) CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML

Referenced by

  1. Gunter Saake, Andreas Heuer: Datenbanken: Implementierungstechniken. MITP-Verlag 1999, ISBN 3-8266-0513-6
    Contents
  2. Marek Wojciechowski, Maciej Zakrzewicz: Itemset Materializing for Fast Mining of Association Rules. ADBIS 1998: 284-295
  3. Tadeusz Morzy, Maciej Zakrzewicz: SQL-Like Language for Database Mining. ADBIS 1997: 311-317

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