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%0 Book Section
%4 sid.inpe.br/mtc-m21c/2020/01.02.11.15
%2 sid.inpe.br/mtc-m21c/2020/01.02.11.15.40
%@isbn 978-3-030-14070-0
%A Sousa, Helton Franco de,
%A Vasconcelos, Leandro Guarino de,
%A Baldochi, Laercio A.,
%@affiliation Universidade Federal de Itajubá (UNIFEI)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidade Federal de Itajubá (UNIFEI)
%@electronicmailaddress helton.franco@unifei.edu.br
%@electronicmailaddress leandro.guarino@lit.inpe.br
%@electronicmailaddress baldochi@unifei.edu.br
%T RUM plus plus: a log mining approach to classify users based on data profile
%B 16th International Conference on Information Technology: New Generations
%D 2019
%E Latifi, Shahram,
%V 800
%S Advances in intelligent systems and computing
%I Springer
%C Cham
%K rum ++.
%X This work reports an extension in our previous work called RUM++, which allows the detection of usage patterns associated to the elderly and to users that present low web literacy the target users of our work in any web application.
%P 245-251
%@language en
%3 sousa_rum.pdf


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