Fast Algorithms for Mining Association Rules in Large Databases.

@inproceedings{DBLP:conf/vldb/AgrawalS94,
  author    = {Rakesh Agrawal and
               Ramakrishnan Srikant},
  editor    = {Jorge B. Bocca and
               Matthias Jarke and
               Carlo Zaniolo},
  title     = {Fast Algorithms for Mining Association Rules in Large Databases},
  booktitle = {VLDB'94, Proceedings of 20th International Conference on Very
               Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile},
  publisher = {Morgan Kaufmann},
  year      = {1994},
  isbn      = {1-55860-153-8},
  pages     = {487-499},
  ee        = {db/conf/vldb/vldb94-487.html},
  crossref  = {DBLP:conf/vldb/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1994 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

• Download PDF file (www.vldb.org, Darmstadt, Germany)
• Download PDF file (www.acm.org, New York, USA)

ACM SIGMOD Anthology

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the CD and click on the path of your mount point:
  /Anthology/vldb8997 or /cdrom

• Windows: Click the letter of your CD drive
  A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
• Mac: Click here
• UNIX/LINUX: mount the DVD and click on the path of your mount point:
  /Anthology/aDVD1 or /dvd

Printed Edition

References

[1]

Rakesh Agrawal, Christos Faloutsos, Arun N. Swami: Efficient Similarity Search In Sequence Databases. FODO 1993: 69-84 BibTeX

[2]

Rakesh Agrawal, Sakti P. Ghosh, Tomasz Imielinski, Balakrishna R. Iyer, Arun N. Swami: An Interval Classifier for Database Mining Applications. VLDB 1992: 560-573 BibTeX

[3]

Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993) BibTeX

[4]

Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX

[5]

...

[6]

...

[7]

Ronald J. Brachman, Peter G. Selfridge, Loren G. Terveen, Boris Altman, Fern Halper, Thomas Kirk, Alan Lazar, Deborah L. McGuinness, Lori Alperin Resnick: Integrated Support for Data Archeology. Int. J. Cooperative Inf. Syst. 2(2): 159-185(1993) BibTeX

[8]

Leo Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone: Classification and Regression Trees. Wadsworth 1984, ISBN 0-534-98053-8
BibTeX

[9]

...

[10]

Douglas H. Fisher: Knowledge Acquisition via Incremental Conceptual Clustering. Machine Learning 2(2): 139-172(1987) BibTeX

[11]

Jiawei Han, Yandong Cai, Nick Cercone: Knowledge Discovery in Databases: An Attribute-Oriented Approach. VLDB 1992: 547-559 BibTeX

[12]

...

[13]

Maurice A. W. Houtsma, Arun N. Swami: Set-Oriented Mining for Association Rules in Relational Databases. ICDE 1995: 25-33 BibTeX

[14]

Ravi Krishnamurthy, Tomasz Imielinski: Research Directions in Knowledge Discovery. SIGMOD Record 20(3): 76-78(1991) BibTeX

[15]

...

[16]

Heikki Mannila, Kari-Jouko Räihä: Dependency Inference. VLDB 1987: 155-158 BibTeX

[17]

Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 BibTeX

[18]

...

[19]

...

[20]

Gregory Piatetsky-Shapiro: Discovery, Analysis, and Presentation of Strong Rules. Knowledge Discovery in Databases 1991: 229-248 BibTeX

[21]

Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX

[22]

J. Ross Quinlan: C4.5: Programs for Machine Learning. Morgan Kaufmann 1993, ISBN 1-55860-238-0
BibTeX