Automatic knowledge discovery from texts (KDT) is proving to be a promising method for businesses today to deal
with the overload of textual information. In this paper, we first explore the possibilities for KDT to enhance communication in
virtual communities,…

The aim of this paper is to present procedures and tools used for quality control and statistical analysis of high-density microarray (Affymetrix GeneChip®) to search for genes that may be differentially expressed and that may provide clues to unravel parasite…

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For 20 years, and more intensively during the last decade, indigenous knowledge has challenged the regime of intellectual property. If this field of law has been, in the past, challenged by new technology, it is now, with the problematic of…

Increasingly, knowledge-based tasks such as new product development and market research are being conducted by geographically dispersed teams. Early evidence from knowledge-based view of the firm and geographically dispersed work literatures suggests that at least four kinds of knowledge gaps---transactive…

Knowledge-based Cascade-correlation is a neural network algorithm that combines inductive learning and knowledge transfer (Shultz & Rivest, 2001). In the present thesis, this algorithm is tested on several real-world and artificial problems, and extended in several ways. The first extension…

En: Proceedings of the 35th Hawaii International Conference on System Sciences, 2002

Intellectual capital, as opposed to traditional conceptions of intellectual property, is neither as simple to define nor as straightforward to protect and regulate. As companies in the financial services sector attempt the efficient management of increasingly voluminous and strategically important…

In order to close the gap that exists between the research areas of mathematics anxiety and mathematics learning, this study examined cognitive, metacognitive, and affective aspects of mathematics anxiety as well as students' mathematics performance and competence. One hundred and…

2011