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Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique.

David Wai-Lok Cheung, Jiawei Han, Vincent T. Y. Ng, C. Y. Wong: Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. ICDE 1996: 106-114
@inproceedings{DBLP:conf/icde/CheungHNW96,
  author    = {David Wai-Lok Cheung and
               Jiawei Han and
               Vincent T. Y. Ng and
               C. Y. Wong},
  editor    = {Stanley Y. W. Su},
  title     = {Maintenance of Discovered Association Rules in Large Databases:
               An Incremental Updating Technique},
  booktitle = {Proceedings of the Twelfth International Conference on Data Engineering,
               February 26 - March  1, 1996, New Orleans, Louisiana},
  publisher = {IEEE Computer Society},
  year      = {1996},
  isbn      = {0-8186-7240-4},
  pages     = {106-114},
  ee        = {db/conf/icde/CheungHNW96.html},
  crossref  = {DBLP:conf/icde/96},
  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.


ACM SIGMOD Anthology

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Printed Edition

Stanley Y. W. Su (Ed.): Proceedings of the Twelfth International Conference on Data Engineering, February 26 - March 1, 1996, New Orleans, Louisiana. IEEE Computer Society 1996, ISBN 0-8186-7240-4
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, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX
[3]
...
[4]
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996, ISBN 0-262-56097-6
Contents BibTeX
[5]
Jiawei Han, Yandong Cai, Nick Cercone: Data-Driven Discovery of Quantitative Rules in Relational Databases. IEEE Trans. Knowl. Data Eng. 5(1): 29-40(1993) BibTeX
[6]
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 BibTeX
[7]
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
[8]
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 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]
Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX
[11]
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 BibTeX

Referenced by

  1. Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang: Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168
  2. Christian Hidber: Online Association Rule Mining. SIGMOD Conference 1999: 145-156
  3. Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan: A Framework for Measuring Changes in Data Characteristics. PODS 1999: 126-137
  4. Jiawei Han: Towards On-Line Analytical Mining in Large Databases. SIGMOD Record 27(1): 97-107(1998)
  5. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu: Incremental Clustering for Mining in a Data Warehousing Environment. VLDB 1998: 323-333
  6. Soumen Chakrabarti, Sunita Sarawagi, Byron Dom: Mining Surprising Patterns Using Temporal Description Length. VLDB 1998: 606-617
  7. 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
  8. Tamas Abraham, John F. Roddick: Incremental Meta-Mining from Large Temporal Data Sets. ER Workshops 1998: 41-54
  9. Martin Ester, Rüdiger Wittmann: Incremental Generalization for Mining in a Data Warehousing Environment. EDBT 1998: 135-149
  10. Marek Wojciechowski, Maciej Zakrzewicz: Itemset Materializing for Fast Mining of Association Rules. ADBIS 1998: 284-295
  11. David Wai-Lok Cheung, Sau Dan Lee, Ben Kao: A General Incremental Technique for Maintaining Discovered Association Rules. DASFAA 1997: 185-194
  12. David Wai-Lok Cheung, Vincent T. Y. Ng, Ada Wai-Chee Fu, Yongjian Fu: Efficient Mining of Association Rules in Distributed Databases. IEEE Trans. Knowl. Data Eng. 8(6): 911-922(1996)
  13. Ming-Syan Chen, Jiawei Han, Philip S. Yu: Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996)
BibTeX
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