Abstract In Data Mining, during the preprocessing step, there is a considerable diversity of
candidate algorithms to select important features, according to some criteria. This broad …

Background Term extraction is highly relevant as it is the basis for several tasks, such as the
building of dictionaries, taxonomies, and ontologies, as well as the translation and …

Nos dias atuais há uma quantidade massiva de dados textuais sendo produzida e
armazenada diariamente na forma de e-mails, relatórios, artigos e postagens em redes …

Term extraction is the basis for many tasks such as building of taxonomies, ontologies and
dictionaries, for translation, organization and retrieval of textual data. This paper studies the …

En la actualidad existe un gran volumen de textos en formato digital debido a los avances
científico técnicos que tienen lugar en disímiles esferas y ramas de la ciencia, lo que …

Abstract A Secondary Study (SS) is an important research method used in several areas. A
crucial step in the Conduction phase of a SS is the search of studies. This step is time …

Esta tese contribui para a área de recuperação de informação (information retrieval) que
utiliza a técnica de agrupamento de documentos (document clustering) para apoiar a busca …

Topic hierarchies are efficient ways of organizing document collections. These structures
help users to manage the knowledge contained in textual data. These hierarchies are …

A new complete proposal to solve the problem of automatically selecting good and non
redundant n-gram words as attributes for textual data is proposed. Generally, the use of n …

Understanding the human being is a continuous work of perception and inference about
how he/she interacts and responds to various environmental stimuli in which he/she is …