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

Constraint-Based Rule Mining in Large, Dense Databases.

Roberto J. Bayardo Jr., Rakesh Agrawal, Dimitrios Gunopulos: Constraint-Based Rule Mining in Large, Dense Databases. ICDE 1999: 188-197
@inproceedings{DBLP:conf/icde/BayardoAG99,
  author    = {Roberto J. Bayardo Jr. and
               Rakesh Agrawal and
               Dimitrios Gunopulos},
  title     = {Constraint-Based Rule Mining in Large, Dense Databases},
  booktitle = {Proceedings of the 15th International Conference on Data Engineering,
               23-26 March 1999, Sydney, Austrialia},
  publisher = {IEEE Computer Society},
  year      = {1999},
  pages     = {188-197},
  ee        = {db/conf/icde/BayardoAG99.html},
  crossref  = {DBLP:conf/icde/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Copyright © 1999 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD DiSC

CDROM Version: Load the CDROM "DiSC, Volume 2 Number 1" and ...

ACM SIGMOD Anthology

DVD Version: Load ACM SIGMOD Anthology DVD 1" and ... BibTeX

Online Edition: IEEE Computer Society DL

Citation Page

Printed Edition

Proceedings of the 15th International Conference on Data Engineering, 23-26 March 1999, Sydney, Austrialia. IEEE Computer Society 1999
Contents BibTeX

References

[1]
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, 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
[3]
Kamal Ali, Stefanos Manganaris, Ramakrishnan Srikant: Partial Classification Using Association Rules. KDD 1997: 115-118 BibTeX
[4]
Roberto J. Bayardo Jr.: Efficiently Mining Long Patterns from Databases. SIGMOD Conference 1998: 85-93 BibTeX
[5]
...
[6]
Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur: Dynamic Itemset Counting and Implication Rules for Market Basket Data. SIGMOD Conference 1997: 255-264 BibTeX
[7]
William W. Cohen: Fast Effective Rule Induction. ICML 1995: 115-123 BibTeX
[8]
...
[9]
Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo: Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994: 401-407 BibTeX
[10]
Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang: Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24 BibTeX
[11]
Ron Rymon: Search through Systematic Set Enumeration. KR 1992: 539-550 BibTeX
[12]
John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555 BibTeX
[13]
Padhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316(1992) BibTeX
[14]
Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal: Mining Association Rules with Item Constraints. KDD 1997: 67-73 BibTeX
[15]
Geoffrey I. Webb: OPUS: An Efficient Admissible Algorithm for Unordered Search. J. Artif. Intell. Res. (JAIR) 3: 431-465(1995) 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
BibTeX
ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]
ICDE Proceedings: Copyright © by IEEE,
ACM SIGMOD Anthology: Copyright © by ACM (info@acm.org), Corrections: anthology@acm.org
DBLP: Copyright © by Michael Ley (ley@uni-trier.de), last change: Sat May 16 23:18:44 2009