DocumentCode
2849964
Title
Mass spectrum labeling: theory and practice
Author
Huang, Z. ; Chen, L. ; Cai, J.-Y. ; Gross, D. ; Musicant, D. ; Ramakrishnan, R. ; Schauer, J. ; Wright, S.J.
Author_Institution
Wisconsin Univ., Madison, WI, USA
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
122
Lastpage
129
Abstract
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.
Keywords
data analysis; data mining; environmental management; mass spectra; mass spectroscopy; monitoring; physics computing; formal representations; mass spectrum labeling; real-time environmental monitoring; Aerosols; Chemical elements; Data analysis; Instruments; Iron; Labeling; Machine learning algorithms; Mass spectroscopy; Monitoring; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2004. ICDM '04. Fourth IEEE International Conference on
Print_ISBN
0-7695-2142-8
Type
conf
DOI
10.1109/ICDM.2004.10080
Filename
1410275
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