Isbn: 9781922617651 - prediction of warning level in aircraft accidents: classification techniques (20 resultados)

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work focuses on the evaluation of risk and safety in the civil aviation industry. The aim of the work is to study the performance of different classification algorithms on accident reports of the Federal Aviation Administration (FAA) accident/incident data system database. The work analyses the number of accident data records for all categories of aviation between the years of 1950 to 2012. The classification algorithms such as DT, KNN, SVM, NN and NB are used to predict the warning level of the component as the class attribute. The rules are proven in terms of their accuracy, and these results are seen to be very meaningful. This study also proves that the NB classifiers will perform better than other classifiers. 70 pp. Englisch.…

Paperback. Condición: new. Paperback. This work focuses on the evaluation of risk and safety in the civil aviation industry. The aim of the work is to study the performance of different classification algorithms on accident reports of the Federal Aviation Administration (FAA) accident/incident data system database. The work analyses the number of accident data records for all categories of aviation between the years of 1950 to 2012. The classification algorithms such as DT, KNN, SVM, NN and NB are used to predict the warning level of the component as the class attribute. The rules are proven in terms of their accuracy, and these results are seen to be very meaningful. This study also proves that the NB classifiers will perform better than other classifiers. This book focuses on the evaluation of risk and safety in the civil aviation industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work focuses on the evaluation of risk and safety in the civil aviation industry. The aim of the work is to study the performance of different classification algorithms on accident reports of the Federal Aviation Administration (FAA) accident/incident data system database. The work analyses the number of accident data records for all categories of aviation between the years of 1950 to 2012. The classification algorithms such as DT, KNN, SVM, NN and NB are used to predict the warning level of the component as the class attribute. The rules are proven in terms of their accuracy, and these results are seen to be very meaningful. This study also proves that the NB classifiers will perform better than other classifiers.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work focuses on the evaluation of risk and safety in the civil aviation industry. The aim of the work is to study the performance of different classification algorithms on accident reports of the Federal Aviation Administration (FAA) accident/incident data system database. The work analyses the number of accident data records for all categories of aviation between the years of 1950 to 2012. The classification algorithms such as DT, KNN, SVM, NN and NB are used to predict the warning level of the component as the class attribute. The rules are proven in terms of their accuracy, and these results are seen to be very meaningful. This study also proves that the NB classifiers will perform better than other classifiers.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 70 pp. Englisch.…

Taschenbuch. Condición: Neu. Prediction of Warning Level in Aircraft Accidents | Classification Techniques | Arockia Christopher | Taschenbuch | Englisch | 2025 | Central West Publishing PTY LTD | EAN 9781922617651 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …