Because Taiwan is an island area, so the problem of maritime smuggling is particularly serious. In order to improve the identification rate of smuggling vessels for smuggling items and collecting variables between relationships of dependence or independence, this study applies classification trees and Bayesian network algorithms respectively creating four models: a dependent classification tree model, an independent classification tree model, a dependent Bayesian network model, and an independent Bayesian network model. This study offers an inspective method for vessel’s selection owing to the impact of social security caused by smuggled items.
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Chih-Hao Wen is an Assistant Professor of Department of Logistics Management at the National Defense University. His current other research interests include data mining, recommendation system, business intelligent, database marketing, technology management and general management.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Because Taiwan is an island area, so the problem of maritime smuggling is particularly serious. In order to improve the identification rate of smuggling vessels for smuggling items and collecting variables between relationships of dependence or independence, this study applies classification trees and Bayesian network algorithms respectively creating four models: a dependent classification tree model, an independent classification tree model, a dependent Bayesian network model, and an independent Bayesian network model. This study offers an inspective method for vessel¿s selection owing to the impact of social security caused by smuggled items. 84 pp. Englisch. Bestandsnummer des Verkäufers 9783639829181
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnChih-Hao Wen is an Assistant Professor of Department of Logistics Management at the National Defense University. His current other research interests include data mining, recommendation system, business intelligent, databa. Bestandsnummer des Verkäufers 510894523
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Because Taiwan is an island area, so the problem of maritime smuggling is particularly serious. In order to improve the identification rate of smuggling vessels for smuggling items and collecting variables between relationships of dependence or independence, this study applies classification trees and Bayesian network algorithms respectively creating four models: a dependent classification tree model, an independent classification tree model, a dependent Bayesian network model, and an independent Bayesian network model. This study offers an inspective method for vessel's selection owing to the impact of social security caused by smuggled items.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9783639829181
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Because Taiwan is an island area, so the problem of maritime smuggling is particularly serious. In order to improve the identification rate of smuggling vessels for smuggling items and collecting variables between relationships of dependence or independence, this study applies classification trees and Bayesian network algorithms respectively creating four models: a dependent classification tree model, an independent classification tree model, a dependent Bayesian network model, and an independent Bayesian network model. This study offers an inspective method for vessel¿s selection owing to the impact of social security caused by smuggled items. Bestandsnummer des Verkäufers 9783639829181
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Taschenbuch. Zustand: Neu. Applying Recommender Systems to Defend National Borders from Smuggling | Chih-Hao Wen | Taschenbuch | Englisch | 2016 | ¿¿¿¿¿¿¿ | EAN 9783639829181 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 120607501
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