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.
CDROM Version: Load the CDROM "Volume 2 Issue 7, ICDE 1996-1998, PDIS, Hypertext, ACL DL" and ...
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BibTeX
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
Contents BibTeX
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
- [2]
- Rakesh Agrawal, Ramakrishnan Srikant:
Fast Algorithms for Mining Association Rules in Large Databases.
VLDB 1994: 487-499 BibTeX
- [3]
- ...
- [4]
- Jiawei Han, Yongjian Fu:
Discovery of Multiple-Level Association Rules from Large Databases.
VLDB 1995: 420-431 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
- [7]
- Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Efficient Algorithms for Discovering Association Rules.
KDD Workshop 1994: 181-192 BibTeX
- [8]
- 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
- [10]
- 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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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
- Charu C. Aggarwal, Philip S. Yu:
Mining Large Itemsets for Association Rules.
IEEE Data Eng. Bull. 21(1): 23-31(1998)
BibTeX
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