Set-Oriented Mining for Association Rules in Relational Databases.

@inproceedings{DBLP:conf/icde/HoutsmaS95,
  author    = {Maurice A. W. Houtsma and
               Arun N. Swami},
  editor    = {Philip S. Yu and
               Arbee L. P. Chen},
  title     = {Set-Oriented Mining for Association Rules in Relational Databases},
  booktitle = {Proceedings of the Eleventh International Conference on Data
               Engineering, March 6-10, 1995, Taipei, Taiwan},
  publisher = {IEEE Computer Society},
  year      = {1995},
  isbn      = {0-8186-6910-1},
  pages     = {25-33},
  ee        = {db/conf/icde/HoutsmaS95.html},
  crossref  = {DBLP:conf/icde/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1995 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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References

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

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

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Referenced by

1. Suh-Ying Wur, Yungho Leu: An Effective Boolean Algorithm for Mining Association Rules in Large Databases. DASFAA 1999: 179-186
2. Shalom Tsur, Jeffrey D. Ullman, Serge Abiteboul, Chris Clifton, Rajeev Motwani, Svetlozar Nestorov, Arnon Rosenthal: Query Flocks: A Generalization of Association-Rule Mining. SIGMOD Conference 1998: 1-12
3. Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal: Integrating Mining with Relational Database Systems: Alternatives and Implications. SIGMOD Conference 1998: 343-354
4. Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: Mining for Strong Negative Associations in a Large Database of Customer Transactions. ICDE 1998: 494-502
5. Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411
6. Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Using a Hash-Based Method with Transaction Trimming for Mining Association Rules. IEEE Trans. Knowl. Data Eng. 9(5): 813-825(1997)
7. Renée J. Miller, Yuping Yang: Association Rules over Interval Data. SIGMOD Conference 1997: 452-461
8. Eui-Hong Han, George Karypis, Vipin Kumar: Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288
9. Sergey Brin, Rajeev Motwani, Craig Silverstein: Beyond Market Baskets: Generalizing Association Rules to Correlations. SIGMOD Conference 1997: 265-276
10. Dimitrios Gunopulos, Heikki Mannila, Sanjeev Saluja: Discovering All Most Specific Sentences by Randomized Algorithms. ICDT 1997: 215-229
11. Rakesh Agrawal, John C. Shafer: Parallel Mining of Association Rules. IEEE Trans. Knowl. Data Eng. 8(6): 962-969(1996)
12. Rosa Meo, Giuseppe Psaila, Stefano Ceri: A New SQL-like Operator for Mining Association Rules. VLDB 1996: 122-133
13. Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12
14. Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419
15. Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444
16. Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499