Prototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data

dc.contributor.authorRubbo M.
dc.contributor.authorSilva L.A.
dc.date.accessioned2024-03-12T23:56:26Z
dc.date.available2024-03-12T23:56:26Z
dc.date.issued2018
dc.description.abstract© 2018 IEEE.The k nearest neighbor kNN is a traditional supervised classifier used in data mining tasks. However, when used in real applications, mainly in a dataset with class imbalance or class overlap, kNN suffers with problems in accuracy performance. In this paper, we propose three prototype selection methods using self-organizing maps (SOM) and information entropy to increase the effectiveness of the kNN classifier in datasets with these conditions. The methods, named SOMEntropyKnn, were able to increase the effectiveness of the kNN classifier in all the 14 datasets used in the experiment, increasing the accuracy performance from datasets with imbalance or overlap problems.
dc.description.volume2018-July
dc.identifier.doi10.1109/IJCNN.2018.8489174
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35449
dc.relation.ispartofProceedings of the International Joint Conference on Neural Networks
dc.rightsAcesso Restrito
dc.subject.otherlanguageclass overlap
dc.subject.otherlanguagedata reduction
dc.subject.otherlanguageimbalanced data
dc.subject.otherlanguagekNN
dc.subject.otherlanguageprototype selection
dc.subject.otherlanguageSOM
dc.titlePrototype Selection Using Self-Organizing-Maps and Entropy for Overlapped Classes and Imbalanced Data
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-85056557512
local.scopus.subjectclass overlap
local.scopus.subjectData mining tasks
local.scopus.subjectImbalanced data
local.scopus.subjectInformation entropy
local.scopus.subjectK-nearest neighbors
local.scopus.subjectPrototype selection
local.scopus.subjectReal applications
local.scopus.subjectSupervised classifiers
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85056557512&origin=inward
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