The use of domain knowledge in feature construction for financial time series prediction

Pedro De Almeida; Luís Torgo

doi:10.1007/3-540-45329-6_15

The use of domain knowledge in feature construction for financial time series prediction

Pedro De Almeida, Luís Torgo

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	Progress in Artificial Intelligence
主期刊副标题	Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc.
编辑	Pavel Brazdil, Alipio Jorge
出版商	Springer Verlag
页	116-129
页数	14
ISBN（印刷版）	354043030X, 9783540430308
DOI	https://doi.org/10.1007/3-540-45329-6_15
出版状态	已出版 - 2001
已对外发布	是
活动	10th Portuguese Conference on Artificial Intelligence, EPIA 2001 - Porto, 葡萄牙期限: 12月 17 2001 → 12月 20 2001

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	2258 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	10th Portuguese Conference on Artificial Intelligence, EPIA 2001
国家/地区	葡萄牙
市	Porto
时期	12/17/01 → 12/20/01

!!!ASJC Scopus Subject Areas

理论计算机科学
一般计算机科学

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10.1007/3-540-45329-6_15

其它文件与链接

引用此

De Almeida, P., & Torgo, L. (2001). The use of domain knowledge in feature construction for financial time series prediction. 在 P. Brazdil, & A. Jorge (编辑), Progress in Artificial Intelligence: Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc. (页码 116-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2258 LNAI). Springer Verlag. https://doi.org/10.1007/3-540-45329-6_15

The use of domain knowledge in feature construction for financial time series prediction. / De Almeida, Pedro; Torgo, Luís.
Progress in Artificial Intelligence: Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc.. 编辑 / Pavel Brazdil; Alipio Jorge. Springer Verlag, 2001. 页码 116-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2258 LNAI).

科研成果: 图书/报告稿件的类型 › 会议稿件

De Almeida, P & Torgo, L 2001, The use of domain knowledge in feature construction for financial time series prediction. 在 P Brazdil & A Jorge (编辑), Progress in Artificial Intelligence: Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 2258 LNAI, Springer Verlag, 页码 116-129, 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, 葡萄牙, 12/17/01. https://doi.org/10.1007/3-540-45329-6_15

De Almeida P, Torgo L. The use of domain knowledge in feature construction for financial time series prediction. 在 Brazdil P, Jorge A, 编辑, Progress in Artificial Intelligence: Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc.. Springer Verlag. 2001. 页码 116-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45329-6_15

De Almeida, Pedro ; Torgo, Luís. / The use of domain knowledge in feature construction for financial time series prediction. Progress in Artificial Intelligence: Knowledge Extraction, Multi-Agent Systems, Logic Programming, and Constraint Solving - 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Proc.. 编辑 / Pavel Brazdil ; Alipio Jorge. Springer Verlag, 2001. 页码 116-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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The use of domain knowledge in feature construction for financial time series prediction

出版系列

会议

!!!ASJC Scopus Subject Areas

访问文件

其它文件与链接

指纹

引用此