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Applying support Vector Machines to imbalanced datasets

Author
AKBANI, Rehan1 ; KWEK, Stephen1 ; JAPKOWICZ, Nathalie2
[1] Department of Computer Science, University of Texas at San Antonio 6900 N. Loop 1604 W, San Antonio, Texas, 78249, United States
[2] School of Information Technology & Engineering, University of Ottawa 150 Louis Pasteur, Ottawa, Ontario, K1N 6N5, Canada
Conference title
Machine learning : ECML 2004 (Pisa, 20-24 September 2004)
Conference name
European conference on machine learning (15 ; Pisa 2004-09-20)
Author (monograph)
Boulicault, Jean-François (Editor); Esposito, Floriana (Editor); Giannotti, Fosca (Editor); Pedreschi, Dino (Editor)
Source

Lecture notes in computer science. 2004, pp 39-50, 12 p ; ref : 15 ref

ISSN
0302-9743
ISBN
3-540-23105-6
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Analyse statistique Carte crédit Carte génétique Défaillance Fraude Intelligence artificielle Performance algorithme Machine exemple support Sous échantillonnage
Keyword (en)
Statistical analysis Credit card Genetic mapping Failures Fraud Artificial intelligence Algorithm performance Vector support machine Undersampling
Keyword (es)
Análisis estadístico Tarjeta de crédito Mapa genético Fallo Inteligencia artificial Resultado algoritmo Máquina ejemplo soporte Submuestreo
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16144306

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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