Online Association Rule Mining

SIGMOD Record (ACM Special Interest Group on Management of Data)

Volumn 28, Issue 2, 1999, Pages 145-154

  Hidber, Christian ^a  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0346457324     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/304181.304195     Document Type: Article

References (15)

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2. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. of the 20th Int'l Conf. on Very Large Databases, Santiago, Chile, Sept. 1994.
3. Charu C. Aggarwal and Philip S. Yu. Online generation of association rules. Technical Report RC 20899 (92609), IBM Research Division, T.J. Watson Research Center, Yorktown Heights, NY, June 1997.
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9. Joseph M. Hellerstein. The case for online aggregation. Technical Report UCB//CSD-96-908, EECS Computer Science Divison, University of California at Berkeley, 1996.
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11. C. Hidber. Online Association Rule Mining. Technical Report TR-98-033, International Computer Science Institute, Berkeley, CA, September 1998. an earlier version appeared as technical report UCB//CSD-98-1004 of the Department of Electrical Engineering and Computer Science, University of California at Berkeley.
12. A. Savasere, E. Omiecinski, and S. Navathe. An efficient algorithm for mining association rules in large databases. In Proceedings of the Very Large Data Base Conference, September 1995.
13. Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, and Sanjay Ranka. An efficient algorithm for the incremental updation of association rules in large databases. In Proceedings of the 3rd International conference on Knowledge Discovery and Data Mining (KDD 97), New Port Beach, California, August 1997.
14. Hannu Toivonen. Sampling large databases for association rules. In T. M. Vijayaraman, Alejandro P. Buchmann, C. Mohan, and Nandlal L. Sarda, editors, VLDB '96, Proceedings of 22th International Conference on Very Large Data Bases, Mumbai (Bombay), India, September 1996. Morgan Kaufmann.
15. Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li, and Mitsunori Ogihara. Evaluation of sampling for data mining of association rules. Technical Report 617, Computer Science Dept., U. Rochester, May 1996.