Publicado por Novas Edições Acadêmicas Mai 2017, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,90
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -An ICU database collected at Hospital da Luz, in Lisbon was used for Knowledge retrieval. The Knowledge Discovery in Databases process is applied to this dataset, to obtain classification models that will allow to identify the laboratory testing necessity. Data preprocessing and reduction, feature selection, and classification processes are used. For the classification step, soft computing tools such as fuzzy systems and neural networks are used, combined with SFS, AFS and GA feature selection tools. The feature selection tools have been altered to work with distributed computing, in order to decrease the execution time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.
Publicado por Novas Edições Acadêmicas, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 85,22
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Añadir al carritoPaperback. Condición: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock.
Publicado por Novas Edições Acadêmicas, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 49,90
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Añadir al carritoTaschenbuch. Condición: Neu. Knowledge Discovery in Databases for Prediction of Lab Tests Necessity | A predicting model using real-patients data | Jeronimo Pinto | Taschenbuch | Paperback | 108 S. | Englisch | 2017 | Novas Edições Acadêmicas | EAN 9783330995758 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Publicado por Novas Edições Acadêmicas Mai 2017, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,90
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An ICU database collected at Hospital da Luz, in Lisbon was used for Knowledge retrieval. The Knowledge Discovery in Databases process is applied to this dataset, to obtain classification models that will allow to identify the laboratory testing necessity. Data preprocessing and reduction, feature selection, and classification processes are used. For the classification step, soft computing tools such as fuzzy systems and neural networks are used, combined with SFS, AFS and GA feature selection tools. The feature selection tools have been altered to work with distributed computing, in order to decrease the execution time. 108 pp. Englisch.
Publicado por Novas Edições Acadêmicas, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 41,71
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pinto JeronimoJeronimo Pinto was always passionate to the magic of big data, obsessed to find patters on it and optimize everything that is possible with machine learning tools.This is his early work on Data mining, during the year o.
Publicado por Novas Edições Acadêmicas, 2017
ISBN 10: 3330995750 ISBN 13: 9783330995758
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,90
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An ICU database collected at Hospital da Luz, in Lisbon was used for Knowledge retrieval. The Knowledge Discovery in Databases process is applied to this dataset, to obtain classification models that will allow to identify the laboratory testing necessity. Data preprocessing and reduction, feature selection, and classification processes are used. For the classification step, soft computing tools such as fuzzy systems and neural networks are used, combined with SFS, AFS and GA feature selection tools. The feature selection tools have been altered to work with distributed computing, in order to decrease the execution time.