- Due to the increasing complexity of scientific models, large-scale simulation tools often require a critical amount of computational power to produce results in a reasonable amou...
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...