An environment for knowledge discovery in biology

This paper describes a data mining environment for knowledge discovery in bioinformatics applications. The system has a generic kernel that implements the mining functions to be applied to input primary databases, with a warehouse architecture, of biomedical information. Both supervised and unsupervised classification can be implemented within the kernel and applied to data extracted from the primary database, with the results being suitably stored in a complex object database for knowledge discovery. The kernel also includes a specific high-performance library that allows designing and applying the mining functions in parallel machines. The experimental results obtained by the application of the kernel functions are reported. © 2003 Elsevier Ltd. All rights reserved.

Os alunos não sabem escrever: a (des)organização tópica de redações escolares

Pós-graduação em Estudos Linguísticos - IBILCE

o ensino de leitura na escola: um olhar sobre as concepções de professores do 1º ciclo do ensino fundamental de uma escola municipal de Bauru - SP

This research is being read, thus rendering text on the pole of understanding, as a practice effective dialogue and therefore responsive through which the reader, author, text and context interact. To this end, the reader must turn their knowledge systems and relate them to the linguistic materiality. Thus, aimed to investigate whether the teaching of reading in the early years of elementary school literacy builds skills related to this cultural practice and its relationship to the conceptions of classroom teachers of reading, as well as the teaching and learning methodologies practiced in class classroom. Therefore, I base this research on the theoretical basis of linguistic studies and expository sociointeractionist redefine that, among other things, the concepts of language, genre and text. As for the methodological framework, this study followed the methodology of literature research and fieldwork. The fieldwork took place from the perspective of observing the pedagogical practice of teaching reading, in order to investigate how the educational activities are conducted in a reading room for the third year of elementary school, part of the municipal education Bauru- SP. Were used as instruments of data collection the questionnaire given to school teachers and the school studied the direct observation of teaching practice of one of these professionals. The results of data analysis indicate that the teachers surveyed know key content for teaching reading, as well as renovations of the theoretical and methodological studies of reading, with the consequence that the practices of reading done in the classroom limit the role of student as a reader and does not guarantee the formation of the reader

Fluxo de gases de efeito estufa na implantação de sistema silvipastoril em pastejo com ovinos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Mapping the knowledge covered by library classification systems

This study explores, in 3 steps, how the 3 main library classification systems, the Library of Congress Classification, the Dewey Decimal Classification, and the Universal Decimal Classification, cover human knowledge. First, we mapped the knowledge covered by the 3 systems. We used the 10 Pillars of Knowledge: Map of Human Knowledge, which comprises 10 pillars, as an evaluative model. We mapped all the subject-based classes and subclasses that are part of the first 2 levels of the 3 hierarchical structures. Then, we zoomed into each of the 10 pillars and analyzed how the three systems cover the 10 knowledge domains. Finally, we focused on the 3 library systems. Based on the way each one of them covers the 10 knowledge domains, it is evident that they failed to adequately and systematically present contemporary human knowledge. They are unsystematic and biased, and, at the top 2 levels of the hierarchical structures, they are incomplete.

Decision-Making Tool for Knowledge-Based Projects in Offshore Production Systems

The development of an offshore field demands knowledge of many experts to choose the different components of an offshore production system. All the specialized parts of this knowledge are intrinsically related. The aim of this paper is to use Fuzzy Sets and knowledge-based systems to describe and formalize the phases of development of an offshore production system project, in order to share and to manage the required knowledge for carrying out a project, while at the same time proposing alternatives for the oil field configuration.