A multiclass classification tool using cloud computing architecture

Chia Ping Shen; Chia Hung Liu; Feng Sheng Lin; Han Lin; Chi Ying F. Huang; Cheng Yan Kao; Feipei Lai; Jeng Wei Lin

doi:10.1109/ASONAM.2012.139

A multiclass classification tool using cloud computing architecture

Chia Ping Shen^*, Chia Hung Liu, Feng Sheng Lin, Han Lin, Chi Ying F. Huang, Cheng Yan Kao, Feipei Lai, Jeng Wei Lin

^*此作品的通信作者

生物藥學研究所

研究成果: Conference contribution › 同行評審

3 引文斯高帕斯（Scopus）

摘要

Multiclass classification is an important technique to many complex biomedicine problems. Genetic algorithms (GA) are proven to be effective to select features prior to multiclass classification by support vector machines (SVM). However, their use is computation intensive. Based on SOA (Service Oriented Architecture) design principles, this paper proposes a cloud computing framework that exploits the inherent parallelism of GA-SVM classification to speed up the work. The performance evaluations on an mRNA benchmark cancer dataset have shown the effectiveness and efficiency of the framework. With a user-friendly web interface, the framework provides researchers an easy way to investigate the unrevealed secrets in the fast-growing repository of biomedical data.

原文	English
主出版物標題	Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
頁面	765-770
頁數	6
DOIs	https://doi.org/10.1109/ASONAM.2012.139
出版狀態	Published - 2012
事件	2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 - Istanbul, Turkey 持續時間: 26 8月 2012 → 29 8月 2012

出版系列

名字	Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

Conference

Conference	2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
國家/地區	Turkey
城市	Istanbul
期間	26/08/12 → 29/08/12

UN SDG

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10.1109/ASONAM.2012.139

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Link to publication in Scopus

引用此

Shen, C. P., Liu, C. H., Lin, F. S., Lin, H., Huang, C. Y. F., Kao, C. Y., Lai, F., & Lin, J. W. (2012). A multiclass classification tool using cloud computing architecture. 於 Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 (頁 765-770). 文章 6425667 (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012). https://doi.org/10.1109/ASONAM.2012.139

Shen, Chia Ping ; Liu, Chia Hung ; Lin, Feng Sheng 等. / A multiclass classification tool using cloud computing architecture. Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. 2012. 頁 765-770 (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012).

@inproceedings{eeb7838418f749b6ae8f04cc5265d791,

title = "A multiclass classification tool using cloud computing architecture",

abstract = "Multiclass classification is an important technique to many complex biomedicine problems. Genetic algorithms (GA) are proven to be effective to select features prior to multiclass classification by support vector machines (SVM). However, their use is computation intensive. Based on SOA (Service Oriented Architecture) design principles, this paper proposes a cloud computing framework that exploits the inherent parallelism of GA-SVM classification to speed up the work. The performance evaluations on an mRNA benchmark cancer dataset have shown the effectiveness and efficiency of the framework. With a user-friendly web interface, the framework provides researchers an easy way to investigate the unrevealed secrets in the fast-growing repository of biomedical data.",

keywords = "Cloud computing, Feature selection, Genetic algorithm, Multiclass classification, Support vector machine, mRNA",

author = "Shen, {Chia Ping} and Liu, {Chia Hung} and Lin, {Feng Sheng} and Han Lin and Huang, {Chi Ying F.} and Kao, {Cheng Yan} and Feipei Lai and Lin, {Jeng Wei}",

year = "2012",

doi = "10.1109/ASONAM.2012.139",

language = "English",

isbn = "9780769547992",

series = "Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012",

pages = "765--770",

booktitle = "Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012",

note = "2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 ; Conference date: 26-08-2012 Through 29-08-2012",

}

Shen, CP, Liu, CH, Lin, FS, Lin, H, Huang, CYF, Kao, CY, Lai, F & Lin, JW 2012, A multiclass classification tool using cloud computing architecture. 於 Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012., 6425667, Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, 頁 765-770, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 26/08/12. https://doi.org/10.1109/ASONAM.2012.139

A multiclass classification tool using cloud computing architecture. / Shen, Chia Ping; Liu, Chia Hung; Lin, Feng Sheng 等.
Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. 2012. p. 765-770 6425667 (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - A multiclass classification tool using cloud computing architecture

AU - Shen, Chia Ping

AU - Liu, Chia Hung

AU - Lin, Feng Sheng

AU - Lin, Han

AU - Huang, Chi Ying F.

AU - Kao, Cheng Yan

AU - Lai, Feipei

AU - Lin, Jeng Wei

PY - 2012

Y1 - 2012

N2 - Multiclass classification is an important technique to many complex biomedicine problems. Genetic algorithms (GA) are proven to be effective to select features prior to multiclass classification by support vector machines (SVM). However, their use is computation intensive. Based on SOA (Service Oriented Architecture) design principles, this paper proposes a cloud computing framework that exploits the inherent parallelism of GA-SVM classification to speed up the work. The performance evaluations on an mRNA benchmark cancer dataset have shown the effectiveness and efficiency of the framework. With a user-friendly web interface, the framework provides researchers an easy way to investigate the unrevealed secrets in the fast-growing repository of biomedical data.

AB - Multiclass classification is an important technique to many complex biomedicine problems. Genetic algorithms (GA) are proven to be effective to select features prior to multiclass classification by support vector machines (SVM). However, their use is computation intensive. Based on SOA (Service Oriented Architecture) design principles, this paper proposes a cloud computing framework that exploits the inherent parallelism of GA-SVM classification to speed up the work. The performance evaluations on an mRNA benchmark cancer dataset have shown the effectiveness and efficiency of the framework. With a user-friendly web interface, the framework provides researchers an easy way to investigate the unrevealed secrets in the fast-growing repository of biomedical data.

KW - Cloud computing

KW - Feature selection

KW - Genetic algorithm

KW - Multiclass classification

KW - Support vector machine

KW - mRNA

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U2 - 10.1109/ASONAM.2012.139

DO - 10.1109/ASONAM.2012.139

M3 - Conference contribution

AN - SCOPUS:84874265399

SN - 9780769547992

T3 - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

SP - 765

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BT - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

T2 - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

Y2 - 26 August 2012 through 29 August 2012

ER -

Shen CP, Liu CH, Lin FS, Lin H, Huang CYF, Kao CY 等. A multiclass classification tool using cloud computing architecture. 於 Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. 2012. p. 765-770. 6425667. (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012). doi: 10.1109/ASONAM.2012.139

A multiclass classification tool using cloud computing architecture

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