we build online models for the auction fraud moderation and detection system designed for a major Asian online auction website. By empirical experiments on a realword online auction fraud detection data, we show that our proposed online probit model framework, which combines online feature selection, bounding coefficients from expert knowledge and multiple instance learning, can significantlyimprove over baselines and the human-tuned model. Note that this online modeling framework can be easily extended to many other applications, such as web spam detection, content optimization and so forth. Regarding to future work, one direction is to include the adjustment of the selection bias in the online model training process. It has been proven to be very effective for offline models .
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -we build online models for the auction fraud moderation and detection system designed for a major Asian online auction website. By empirical experiments on a realword online auction fraud detection data, we show that our proposed online probit model framework, which combines online feature selection, bounding coefficients from expert knowledge and multiple instance learning, can significantlyimprove over baselines and the human-tuned model. Note that this online modeling framework can be easily extended to many other applications, such as web spam detection, content optimization and so forth. Regarding to future work, one direction is to include the adjustment of the selection bias in the online model training process. It has been proven to be very effective for offline models . 60 pp. Englisch. N° de réf. du vendeur 9786206158608
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: U Dr. SIVAJIDr.U.Sivaji is currently the Associate Professor of Information Technology at the Institute of Aeronautical Engineering, Dundigal, Hyderabad. His current research interests include software Engineering, Machine Learning ,. N° de réf. du vendeur 873093180
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - we build online models for the auction fraud moderation and detection system designed for a major Asian online auction website. By empirical experiments on a realword online auction fraud detection data, we show that our proposed online probit model framework, which combines online feature selection, bounding coefficients from expert knowledge and multiple instance learning, can significantlyimprove over baselines and the human-tuned model. Note that this online modeling framework can be easily extended to many other applications, such as web spam detection, content optimization and so forth. Regarding to future work, one direction is to include the adjustment of the selection bias in the online model training process. It has been proven to be very effective for offline models . N° de réf. du vendeur 9786206158608
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Taschenbuch. Etat : Neu. Building models for Auction systems | fraud detection system | Sivaji U | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206158608 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 126918225
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