João José Vasco Furtado

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Universal design of user interfaces attempts to cover design issues in multiple contexts of use where multiple types of users may carry out multiple tasks, possibly on multiple domains of interest. Existing design methods do not necessarily support designing such user interfaces. A new design method is presented for this purpose in three layers: (i) a(More)
Universal design of user interfaces addresses design issues in multiple contexts of use where multiple types of users carry out multiple tasks, possibly in multiple domains of interest. Existing development methods do not necessarily support the development of such user interfaces, as they do not establish commonalities and differences between these(More)
The probabilistic concept formation general problem in dealing with mixed-data scale environments is due to the use of different evaluation function for each attribute type. We claim that different behaviors for discrete and continuous evaluation functions are due to an unbalanced contribution for each attribute-type evaluation function inside the main(More)
In this article we describe a multi-agent system integrated into a Knowledge Management Information System, called MC2, for knowledge discovery in database. MC2 brings together a set of tools that contribute to the knowledge management process by allowing for the creation and maintenance of an organizational memory. To achieve this end, the approach taken(More)
More frequently, design of user interfaces covers design issues related to multiple contexts of use where multiple stereotypes of users may carry out multiple tasks, possibly on multiple domains of interest. Existing development methods do not necessarily support developing such user interfaces as they do not factor out common parts between similar cases(More)
Knowledge discover in Data bases (KDD) concerns the development of models which allow the representation and organization of the knowledge hidden in data. Machine learning systems are an alternative to automate the KDD process. In particular, incremental concept formation systems construct hierarchical abstract representations from observations(More)
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