Aerial Threat Perception Using Data Mining: Solution to predict all air based threats using Data Mining - Couverture souple

Anwar-ul-Haq, Muhammad

 
9783844393729: Aerial Threat Perception Using Data Mining: Solution to predict all air based threats using Data Mining
Couverture souple
ISBN 10 : 3844393722 ISBN 13 : 9783844393729
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

M. 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 Ghulam Ishaq Khan Institute, Topi Khyber Pakhtunkhwa, Pakistan. His research interests include Machine Learning & Data Mining.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844393722
ISBN 13 
9783844393729
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne