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Fourth IEEE International Conference on Data Mining (ICDM'04)
Mass Spectrum Labeling: Theory and Practice
Brighton, United Kingdom
November 01-November 04
ISBN: 0-7695-2142-8
Z. Huang, University of Wisconsin-Madison
L. Chen, University of Wisconsin-Madison
J-Y. Cai, University of Wisconsin-Madison
D. Gross, Carleton College
D. Musicant, Carleton College
R. Ramakrishnan, University of Wisconsin-Madison
J. Schauer, University of Wisconsin-Madison
S. J. Wright, University of Wisconsin-Madison
We introduce the problem of labeling a particle's mass spectrum with the substances it contains, and develop several formal representations of the problem, taking into account practical complications such as unknown compounds and noise. This task is currently a bottle-neck in analyzing data from a new generation of instruments for real-time environmental monitoring.
Citation:
Z. Huang, L. Chen, J-Y. Cai, D. Gross, D. Musicant, R. Ramakrishnan, J. Schauer, S. J. Wright, "Mass Spectrum Labeling: Theory and Practice," icdm, pp.122-129, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004
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