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Efficient enumeration of frequent sequences
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Source Conference on Information and Knowledge Management archive
Proceedings of the seventh international conference on Information and knowledge management table of contents
Bethesda, Maryland, United States
Pages: 68 - 75  
Year of Publication: 1998
ISBN:1-58113-061-9
Author
Mohammed J. Zaki  Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMIS: ACM Special Interest Group on Management Information Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 27,   Citation Count: 37
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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B. A. Davey and H. A. Priestley. Introduction to Lattices and Order. Cambridge University Press, 1990.
 
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H. Mannila and H. T0ivonen. Discovering generalized episodes using minimal occurences. In 2nd Intl. Conf. Knowledge Discovery and Data Mining, 1996.
 
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H. Mannila, H. Toivonen, and I. Verkamo. Discovering frequent episodes in sequences. In 1st Intl. Conf. KDD, 1995.
 
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T Oates, et al. Algorithms for finding temporal structure in data. In 6th Intl. Wkshp. AI and Statistics, Mar 1997.
 
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S. Parthasarathy, M. J. Zaki, and W. Li. Memory placement techniques for parallel association mining. In 4th Intl. Conf. KDD, Aug 1998.
 
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M. J. Zaki, et al. PLANMINE: Sequence mining for plan failures. In 4th Intl. Conf. KDD, Aug 1998.
 
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M. J. Zaki, et al. New algorithms for fast discovery of association rules. In 3rd Intl. Conf. KDD, Aug 1997.

CITED BY  37