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Mining patterns in long sequential data with noise
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Source ACM SIGKDD Explorations Newsletter archive
Volume 2 ,  Issue 2  (December 2000) table of contents
Special issue on “Scalable data mining algorithms”
Pages: 28 - 33  
Year of Publication: 2000
ISSN:1931-0145
Authors
Wei Wang  IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY
Jiong Yang  IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY
Philip S. Yu  IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY
Publisher
ACM  New York, NY, USA
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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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[5] A. Califano, G. Stolovitzky, and Y. Tu. Analysis of gene expression microarrays: a combinatorial multivariate approach , IBM T. J. Watson Research Report, 1999.
 
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[6] R. Durbin, S. Eddy, A. Krough, and G. Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 1998.
 
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[8] National Center for Biotechnology Information. Available at "http://www.ncbi.nlm.nih.gov".
 
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[9] J. Han, W. Gong, and Y. Yin. Mining segment-wise periodic patterns in time-related databases. Proc. Int. Conf. on Knowledge Discovery and Data Mining, 214-218, 1998.
 
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[12] W. Hoeffding. Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, vol. 58, 13-30, 1963.
 
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[17] J. Yang, W. Yang, and P. Yu. Meta-patterns: revealing hierarchy of periodic patterns. IBM Research Report, 2001.
 
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[18] J. Yang, W. Yang, and P. Yu. InfoMiner: mining significant periodic patterns with rare events in time series data. IBM Research Report, 2001.


Collaborative Colleagues:
Wei Wang: colleagues
Jiong Yang: colleagues
Philip S. Yu: colleagues