Report about VOCs Dataset's Analysis based on randomForests Method

Huaizhong Zhang; Fred Hamprecht; Anton Amann

doi:10.1109/HPCASIA.2005.85

Report about VOCs Dataset's Analysis based on randomForests Method

Huaizhong Zhang^*, Fred Hamprecht, Anton Amann

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

1 Citation (Scopus)

Abstract

Volatile organic compounds (VOCs) play an important role in diagnosis and therapy of various diseases. We compare several main classifiers for data classification and point out the advantages of randomForests on supervising learning. So, in this project, we take the randomForests approach to analyze and appraise the VOCs data originally coming from the medical test. According to actual situation, combining the unsupervising and supervising methods, the important components and outliers are given. The evaluation for the classifying results has been acquired due to the cross-validation sampling methods.

Original language	English
Title of host publication	Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005
Pages	603-607
Number of pages	5
DOIs	https://doi.org/10.1109/HPCASIA.2005.85
Publication status	Published - 2005
Event	8th International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005 - Beijing, China Duration: 30 Nov 2005 → 3 Dec 2005

Publication series

Name	Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005
Volume	2005

Conference

Conference	8th International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005
Country/Territory	China
City	Beijing
Period	30/11/05 → 3/12/05

Access to Document

10.1109/HPCASIA.2005.85

Cite this

Zhang, H., Hamprecht, F., & Amann, A. (2005). Report about VOCs Dataset's Analysis based on randomForests Method. In Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005 (pp. 603-607). Article 1592328 (Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005; Vol. 2005). https://doi.org/10.1109/HPCASIA.2005.85

Zhang, Huaizhong ; Hamprecht, Fred ; Amann, Anton. / Report about VOCs Dataset's Analysis based on randomForests Method. Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005. 2005. pp. 603-607 (Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005).

@inproceedings{0f2efae1d3134301abd6e12ca774aac2,

title = "Report about VOCs Dataset's Analysis based on randomForests Method",

abstract = "Volatile organic compounds (VOCs) play an important role in diagnosis and therapy of various diseases. We compare several main classifiers for data classification and point out the advantages of randomForests on supervising learning. So, in this project, we take the randomForests approach to analyze and appraise the VOCs data originally coming from the medical test. According to actual situation, combining the unsupervising and supervising methods, the important components and outliers are given. The evaluation for the classifying results has been acquired due to the cross-validation sampling methods.",

author = "Huaizhong Zhang and Fred Hamprecht and Anton Amann",

year = "2005",

doi = "10.1109/HPCASIA.2005.85",

language = "English",

isbn = "0769524869",

series = "Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005",

pages = "603--607",

booktitle = "Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005",

note = "8th International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005 ; Conference date: 30-11-2005 Through 03-12-2005",

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Zhang, H, Hamprecht, F & Amann, A 2005, Report about VOCs Dataset's Analysis based on randomForests Method. in Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005., 1592328, Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005, vol. 2005, pp. 603-607, 8th International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005, Beijing, China, 30/11/05. https://doi.org/10.1109/HPCASIA.2005.85

Report about VOCs Dataset's Analysis based on randomForests Method. / Zhang, Huaizhong; Hamprecht, Fred; Amann, Anton.
Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005. 2005. p. 603-607 1592328 (Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

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N2 - Volatile organic compounds (VOCs) play an important role in diagnosis and therapy of various diseases. We compare several main classifiers for data classification and point out the advantages of randomForests on supervising learning. So, in this project, we take the randomForests approach to analyze and appraise the VOCs data originally coming from the medical test. According to actual situation, combining the unsupervising and supervising methods, the important components and outliers are given. The evaluation for the classifying results has been acquired due to the cross-validation sampling methods.

AB - Volatile organic compounds (VOCs) play an important role in diagnosis and therapy of various diseases. We compare several main classifiers for data classification and point out the advantages of randomForests on supervising learning. So, in this project, we take the randomForests approach to analyze and appraise the VOCs data originally coming from the medical test. According to actual situation, combining the unsupervising and supervising methods, the important components and outliers are given. The evaluation for the classifying results has been acquired due to the cross-validation sampling methods.

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Zhang H, Hamprecht F, Amann A. Report about VOCs Dataset's Analysis based on randomForests Method. In Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005. 2005. p. 603-607. 1592328. (Proceedings - Eighth International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005). doi: 10.1109/HPCASIA.2005.85

Report about VOCs Dataset's Analysis based on randomForests Method

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