Online Association Rule Mining.

@inproceedings{DBLP:conf/sigmod/Hidber99,
  author    = {Christian Hidber},
  editor    = {Alex Delis and
               Christos Faloutsos and
               Shahram Ghandeharizadeh},
  title     = {Online Association Rule Mining},
  booktitle = {SIGMOD 1999, Proceedings ACM SIGMOD International Conference
               on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania,
               USA},
  publisher = {ACM Press},
  year      = {1999},
  isbn      = {1-58113-084-8},
  pages     = {145-156},
  ee        = {http://doi.acm.org/10.1145/304182.304195, db/conf/sigmod/Hidber99.html},
  crossref  = {DBLP:conf/sigmod/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1999 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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References

[AIS93]

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

[AS94]

Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 BibTeX

[AY97]

Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411 BibTeX

[AY98]

Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31(1998) BibTeX

[Bay98]

Roberto J. Bayardo Jr.: Efficiently Mining Long Patterns from Databases. SIGMOD Conference 1998: 85-93 BibTeX

[BMUT97]

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

[CHNW996]

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 BibTeX

[CLK97]

David Wai-Lok Cheung, Sau Dan Lee, Ben Kao: A General Incremental Technique for Maintaining Discovered Association Rules. DASFAA 1997: 185-194 BibTeX

[Hel96]

...

[HHW97]

Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang: Online Aggregation. SIGMOD Conference 1997: 171-182 BibTeX

[Hid98]

...

[SON95]

Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444 BibTeX

[TBAR97]

Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, Sanjay Ranka: An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases. KDD 1997: 263-266 BibTeX

[Toi96]

Hannu Toivonen: Sampling Large Databases for Association Rules. VLDB 1996: 134-145 BibTeX

[ZPLO96]

Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li, Mitsunori Ogihara: Evaluation of Sampling for Data Mining of Association Rules. RIDE 1997: 0- BibTeX

Referenced by

1. Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng: The 3W Model and Algebra for Unified Data Mining. VLDB 2000: 21-32
2. Peter J. Haas: Techniques for Online Exploration of Large Object-Relational Datasets. SSDBM 1999: 4-12