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dc.creatorSimić, Goran
dc.creatorJeremić, Zoran
dc.creatorKajan, Ejub
dc.creatorRanđelović, Dragan
dc.creatorPresnall, Aaron
dc.date.accessioned2019-03-21T16:05:06Z
dc.date.available2019-03-21T16:05:06Z
dc.date.issued2014
dc.identifier.issn1785-8860
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/611
dc.description.abstractThis paper gives a solution for improving e-Government services based on a hybrid approach: multilayered clustering of e-government documents based on fuzzy concepts and application of different text similarity measures. The goal is to reduce time between citizen's questions and government feedback, either completely eliminating or at least minimizing the deployment of subject matter experts. After the problem description, the paper describes step by step the functionality of the proposed system. At the end, concluding remarks emphasize some important features of the given approach and potential for future research.en
dc.publisherBudapest Tech, Budapest
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44007/RS//
dc.rightsrestrictedAccess
dc.sourceActa polytechnica hungarica
dc.subjecte-governmenten
dc.subjectclusteringen
dc.subjecttext similarityen
dc.subjectfuzzy clusteringen
dc.titleA Framework for Delivering e-Government Supporten
dc.typearticle
dc.rights.licenseARR
dcterms.abstractСимић, Горан; Ранђеловић, Драган; Кајан, Ејуб; Пресналл, Aарон; Јеремић, Зоран;
dc.citation.volume11
dc.citation.issue1
dc.citation.spage79
dc.citation.epage96
dc.citation.other11(1): 79-96
dc.citation.rankM23
dc.identifier.rcubconv_1108
dc.identifier.scopus2-s2.0-84891641292
dc.identifier.wos000331987400006
dc.type.versionpublishedVersion


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