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An Ensemble Technique For Multi Class Imbalanced Problem Using Probabilistic Neural Networks

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dc.contributor.author Chandrasekara, N.V.
dc.contributor.author Tilakaratne, C.D.
dc.contributor.author Mammadov, M.A.
dc.date.accessioned 2019-05-03T04:25:56Z
dc.date.available 2019-05-03T04:25:56Z
dc.date.issued 2018
dc.identifier.citation Chandrasekara,N.V.,Tilakaratne,C.D. and Mammadov,M.A. (2018).An Ensemble Technique For Multi Class Imbalanced Problem Using Probabilistic Neural Networks.Advances and Applications in Statistics, 2018, Volume 53, Number 6, 2018, Pages 647-658,ISSN: 0972-3617.http://dx.doi.org/10.17654/AS053060647 en_US
dc.identifier.issn 0972-3617
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/20142
dc.description.abstract The class imbalanced problem is one of the major difficulties encountered by many researchers when using classification tools. Multi class problems are especially severe in this regard. The main objective of this study is to propose a suitable technique to handle multi class imbalanced problem. Probabilistic neural network (PNN) is used as the classification tool and the directional prediction of Australian, United States and Srilankan stock market indices is considered as the application. We propose an ensemble technique to handle multi class imbalanced problem that is called multi class undersampling based bagging (MCUB) technique. This is a new initiative that has not been considered in the literature to handle multi class imbalanced problem by employing PNN. The results obtained demonstrate that the proposed MCUB technique is capable of handling multi class imbalanced problem. Therefore, the PNN with the proposed ensemble technique can be used effectively in data classification. As a further study, other classification tools can be used to investigate the performance of the proposed MCUB technique in solving class imbalanced problems. en_US
dc.language.iso en_US en_US
dc.publisher Advances and Applications in Statistics en_US
dc.subject multi class imbalanced problem en_US
dc.subject bootstrap en_US
dc.subject aggregating en_US
dc.subject PNN en_US
dc.title An Ensemble Technique For Multi Class Imbalanced Problem Using Probabilistic Neural Networks en_US
dc.type Article en_US


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