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Intelligent Data Engineering and Automated Learning

Autor Syed Zahidur Rashid
en Limba Engleză Paperback – 28 ian 2015
This book investigates the nature of imbalanced data sets and looks at two external methods, which can increase a learner's performance on under represented classes. Both techniques artificially balance the training data; one by randomly re-sampling examples of the under represented class and adding them to the training set, the other by randomly removing examples of the over represented class from the training set. A combination scheme is then presented. The approach is one in which multiple classifiers are arranged in a hierarchical structure according to their sampling techniques. The architecture consists of two experts, one that boosts performance by combining classifiers that re-sample training data at different rates, the other by combining classifiers that remove data from the training data at different rates. Using the F-measure, which combines precision and recall as a performance statistic, the combination scheme is shown to be effective at learning from severely imbalanced data sets. In fact, when compared to a state of the art combination technique, Adaptive-Boosting, the proposed system is shown to be superior for learning on imbalanced data sets.
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Specificații

ISBN-13: 9783639762211
ISBN-10: 3639762215
Pagini: 220
Dimensiuni: 150 x 220 x 14 mm
Greutate: 0.35 kg
Editura: Scholars' Press

Notă biografică

His research interest includes wireless communication and informationtheory,nanonetworks,QoE provision in wireless multimedianetworks,communication protocols,error resilient 2D/3D videotransmission,multihop networks,cross¿layer wireless systemdesign,privacy and security, cyber physical systems,networkmeasurement and tomography,overlay routing.