Aerial Threat Perception Using Data Mining: Solution to predict all air based threats using Data Mining - Softcover
Inhaltsangabe
This book presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the knowledge base and finding patterns for building the decision trees. This framework is flexibly designed to seamlessly integrate with other applications. The results show the effectiveness of selected algorithms and suggest that more the parameters are incorporated for the decision making for aerial threats; the better is our confidence level on the results. To delve into accurate target prediction we have to make decisions on multiple factors. Multiple techniques used together helps in finding the accurate threat classification and result in better confidence on our results.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
M. Anwar-ul-Haq es profesor en la Foundation University, Islamabad. Completó su Maestría en Ingeniería de Software de la Universidad Nacional de Ciencia y Tecnología, Islamabad Pakistán y se graduó del Instituto Ghulam Ishaq Khan, Topi Khyber Pakhtunkhwa, Pakistán. Sus intereses de investigación incluyen el aprendizaje automático y la minería de datos.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Aerial Threat Perception Using Data Mining: Solution...
Foto des Verkäufers
Aerial Threat Perception Using Data Mining
Verlag:
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844393722
ISBN 13: 9783844393729
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the knowledge base and finding patterns for building the decision trees. This framework is flexibly designed to seamlessly integrate with other applications. The results show the effectiveness of selected algorithms and suggest that more the parameters are incorporated for the decision making for aerial threats; the better is our confidence level on the results. To delve into accurate target prediction we have to make decisions on multiple factors. Multiple techniques used together helps in finding the accurate threat classification and result in better confidence on our results. 72 pp. Englisch. Bestandsnummer des Verkäufers 9783844393729
Neu kaufen
EUR 49,00
EUR 23,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
Aerial Threat Perception Using Data Mining
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844393722
ISBN 13: 9783844393729
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anwar-ul-Haq MuhammadM. Anwar-ul-Haq is a Lecturer at Foundation University, Islamabad. He completed his Masters in Software Engineering from National University of Science and Technology, Islamabad Pakistan and graduation from Gh. Bestandsnummer des Verkäufers 5476851
Neu kaufen
EUR 41,05
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Aerial Threat Perception Using Data Mining
Verlag:
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844393722
ISBN 13: 9783844393729
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the knowledge base and finding patterns for building the decision trees. This framework is flexibly designed to seamlessly integrate with other applications. The results show the effectiveness of selected algorithms and suggest that more the parameters are incorporated for the decision making for aerial threats; the better is our confidence level on the results. To delve into accurate target prediction we have to make decisions on multiple factors. Multiple techniques used together helps in finding the accurate threat classification and result in better confidence on our results.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9783844393729
Neu kaufen
EUR 49,00
EUR 60,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Aerial Threat Perception Using Data Mining : Solution to predict all air based threats using Data Mining
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844393722
ISBN 13: 9783844393729
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a design framework based on a centralized scalable architecture for effective simulated aerial threat perception. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the knowledge base and finding patterns for building the decision trees. This framework is flexibly designed to seamlessly integrate with other applications. The results show the effectiveness of selected algorithms and suggest that more the parameters are incorporated for the decision making for aerial threats; the better is our confidence level on the results. To delve into accurate target prediction we have to make decisions on multiple factors. Multiple techniques used together helps in finding the accurate threat classification and result in better confidence on our results. Bestandsnummer des Verkäufers 9783844393729
Neu kaufen
EUR 49,59
EUR 60,63 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Aerial Threat Perception Using Data Mining | Solution to predict all air based threats using Data Mining
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844393722
ISBN 13: 9783844393729
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Aerial Threat Perception Using Data Mining | Solution to predict all air based threats using Data Mining | Muhammad Anwar-Ul-Haq | Taschenbuch | 72 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844393729 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 107015510
Neu kaufen
EUR 43,35
EUR 70,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar