ACM SIGMOD Anthology TKDE dblp.uni-trier.de

Parallel Mining of Association Rules.

Rakesh Agrawal, John C. Shafer: Parallel Mining of Association Rules. IEEE Trans. Knowl. Data Eng. 8(6): 962-969(1996)
@article{DBLP:journals/tkde/AgrawalS96,
  author    = {Rakesh Agrawal and
               John C. Shafer},
  title     = {Parallel Mining of Association Rules},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {8},
  number    = {6},
  year      = {1996},
  pages     = {962-969},
  ee        = {db/journals/tkde/AgrawalS96.html, db/journals/tkde/AgrawalS96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


CDROM Edition

under construction (file=TKDE8/k0962.pdf) 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]
...
[3]
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
[4]
...
[5]
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 BibTeX
[6]
Maurice A. W. Houtsma, Arun N. Swami: Set-Oriented Mining for Association Rules in Relational Databases. ICDE 1995: 25-33 BibTeX
[7]
...
[8]
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 BibTeX
[9]
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186 BibTeX
[10]
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Efficient Parallel and Data Mining for Association Rules. CIKM 1995: 31-36 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]
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX

Referenced by

  1. Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos: Quantifiable Data Mining Using Ratio Rules. VLDB J. 8(3-4): 254-266(2000)
  2. Erik Riedel, Christos Faloutsos, Gregory R. Ganger, David Nagle: Data Mining on an OLTP System (Nearly) for Free. SIGMOD Conference 2000: 13-21
  3. Masahisa Tamura, Masaru Kitsuregawa: Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems. VLDB 1999: 162-173
  4. Suh-Ying Wur, Yungho Leu: An Effective Boolean Algorithm for Mining Association Rules in Large Databases. DASFAA 1999: 179-186
  5. Erik Riedel, Garth A. Gibson, Christos Faloutsos: Active Storage for Large-Scale Data Mining and Multimedia. VLDB 1998: 62-73
  6. Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos: Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining. VLDB 1998: 582-593
  7. Takahiko Shintani, Masaru Kitsuregawa: Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy. SIGMOD Conference 1998: 25-36
  8. Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal: Integrating Mining with Relational Database Systems: Alternatives and Implications. SIGMOD Conference 1998: 343-354
  9. 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
  10. Dao-I Lin, Zvi M. Kedem: Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set. EDBT 1998: 105-119
  11. Eui-Hong Han, George Karypis, Vipin Kumar: Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288
BibTeX
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