publication . Article . 2016

Financial predictions using cost sensitive neural networks for multi-class learning

Eleni Rozaki;
Open Access
  • Published: 01 Apr 2016 Journal: Advanced Engineering Forum, volume 16, pages 104-116 (eissn: 2234-991X, Copyright policy)
  • Publisher: Trans Tech Publications
  • Country: United Kingdom
Abstract
<jats:p>The interest in the localisation of wireless sensor networks has grown in recent years. A variety of machine-learning methods have been proposed in recent years to improve the optimisation of the complex behaviour of wireless networks. Network administrators have found that traditional classification algorithms may be limited with imbalanced datasets. In fact, the problem of imbalanced data learning has received particular interest. The purpose of this study was to examine design modifications to neural networks in order to address the problem of cost optimisation decisions and financial predictions. The goal was to compare four learning-based techniques...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Statistical classification, Wireless sensor network, Wireless network, Multilayer perceptron, Artificial intelligence, business.industry, business, Finance, C4.5 algorithm, Machine learning, computer.software_genre, computer, Data mining, Types of artificial neural networks, Naive Bayes classifier, Computer science, Artificial neural network, QA75
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