Generation of globally relevant continuous features for classification

Sylvain Létourneau; Stan Matwin; A. Fazel Famili

doi:10.1007/978-3-540-68125-0_19

Generation of globally relevant continuous features for classification

Sylvain Létourneau, Stan Matwin, A. Fazel Famili

科研成果: 图书/报告稿件的类型 › 会议稿件

源语言	英语
主期刊名	Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings
页	196-208
页数	13
DOI	https://doi.org/10.1007/978-3-540-68125-0_19
出版状态	已出版 - 2008
已对外发布	是
活动	12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008 - Osaka, 日本期限: 5月 20 2008 → 5月 23 2008

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	5012 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008
国家/地区	日本
市	Osaka
时期	5/20/08 → 5/23/08

!!!ASJC Scopus Subject Areas

理论计算机科学
一般计算机科学

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10.1007/978-3-540-68125-0_19

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引用此

Létourneau, S., Matwin, S., & Famili, A. F. (2008). Generation of globally relevant continuous features for classification. 在 Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings (页码 196-208). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5012 LNAI). https://doi.org/10.1007/978-3-540-68125-0_19

Generation of globally relevant continuous features for classification. / Létourneau, Sylvain; Matwin, Stan; Famili, A. Fazel.
Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings. 2008. 页码 196-208 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5012 LNAI).

科研成果: 图书/报告稿件的类型 › 会议稿件

Létourneau, S, Matwin, S & Famili, AF 2008, Generation of globally relevant continuous features for classification. 在 Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 5012 LNAI, 页码 196-208, 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, Osaka, 日本, 5/20/08. https://doi.org/10.1007/978-3-540-68125-0_19

Létourneau S, Matwin S, Famili AF. Generation of globally relevant continuous features for classification. 在 Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings. 2008. 页码 196-208. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-68125-0_19

Létourneau, Sylvain ; Matwin, Stan ; Famili, A. Fazel. / Generation of globally relevant continuous features for classification. Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings. 2008. 页码 196-208 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Generation of globally relevant continuous features for classification",

author = "Sylvain L{\'e}tourneau and Stan Matwin and Famili, {A. Fazel}",

note = "Funding Information: We acknowledge the Ministry of New and Renewable Energy of Government of India for the financial support (NRE fellowship) to the first author to conduct this research as a part of her Ph.D. research. The author is also thankful to SEES Department, DAVV, Indore for all the facilities provided and for the permission to carry out the Ph.D. and research work. Funding Information: The authors wish to express their sincere thanks to the Officer-in-Charge, Regional Occupational Health Centre (Eastern), Kolkata, Director, National Institute of Occupational Health, Ahmedabad and Indian Council of Medical Research, New Delhi for providing all infrastructural support, permission to take the work as Ph.D. programme and to publish the paper. The work was partially supported by the Department of Biotechnology, Government of India.; 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008 ; Conference date: 20-05-2008 Through 23-05-2008",

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doi = "10.1007/978-3-540-68125-0_19",

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N1 - Funding Information: We acknowledge the Ministry of New and Renewable Energy of Government of India for the financial support (NRE fellowship) to the first author to conduct this research as a part of her Ph.D. research. The author is also thankful to SEES Department, DAVV, Indore for all the facilities provided and for the permission to carry out the Ph.D. and research work. Funding Information: The authors wish to express their sincere thanks to the Officer-in-Charge, Regional Occupational Health Centre (Eastern), Kolkata, Director, National Institute of Occupational Health, Ahmedabad and Indian Council of Medical Research, New Delhi for providing all infrastructural support, permission to take the work as Ph.D. programme and to publish the paper. The work was partially supported by the Department of Biotechnology, Government of India.

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ER -

Generation of globally relevant continuous features for classification

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