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Mining for Strong Negative Associations in a Large Database of Customer Transactions.

Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: Mining for Strong Negative Associations in a Large Database of Customer Transactions. ICDE 1998: 494-502
@inproceedings{DBLP:conf/icde/SavasereON98,
  author    = {Ashok Savasere and
               Edward Omiecinski and
               Shamkant B. Navathe},
  title     = {Mining for Strong Negative Associations in a Large Database of
               Customer Transactions},
  booktitle = {Proceedings of the Fourteenth International Conference on Data
               Engineering, February 23-27, 1998, Orlando, Florida, USA},
  publisher = {IEEE Computer Society},
  year      = {1998},
  isbn      = {0-8186-8289-2},
  pages     = {494-502},
  ee        = {db/conf/icde/SavasereON98.html},
  crossref  = {DBLP:conf/icde/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

Proceedings of the Fourteenth International Conference on Data Engineering, February 23-27, 1998, Orlando, Florida, USA. IEEE Computer Society 1998, ISBN 0-8186-8289-2
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References

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Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX
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Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
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Maurice A. W. Houtsma, Arun N. Swami: Set-Oriented Mining for Association Rules in Relational Databases. ICDE 1995: 25-33 BibTeX
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Ravi Krishnamurthy, Tomasz Imielinski: Research Directions in Knowledge Discovery. SIGMOD Record 20(3): 76-78(1991) BibTeX
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Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 BibTeX
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Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186 BibTeX
[9]
Gregory Piatetsky-Shapiro: Discovery, Analysis, and Presentation of Strong Rules. Knowledge Discovery in Databases 1991: 229-248 BibTeX
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Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX
[11]
Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444 BibTeX
[12]
Abraham Silberschatz, Michael Stonebraker, Jeffrey D. Ullman: Database Systems: Achievements and Opportunities. Commun. ACM 34(10): 110-120(1991) BibTeX
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Padhraic Smyth, Rodney M. Goodman: Rule Induction Using Information Theory. Knowledge Discovery in Databases 1991: 159-176 BibTeX
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Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX
[15]
Michael Stonebraker, Rakesh Agrawal, Umeshwar Dayal, Erich J. Neuhold, Andreas Reuter: DBMS Research at a Crossroads: The Vienna Update. VLDB 1993: 688-692 BibTeX

Referenced by

  1. Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31(1998)
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