Daniel Madeira

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With the advent of Web 2.0, we see a new and differentiated scenario: there is more data than that can be effectively analyzed. Organizing this data has become one of the biggest problems in Computer Science. Many algorithms have been proposed for this purpose, highlighting those related to the Data Mining area, specifically the clustering algorithms.(More)
In nowadays we observe that there is more data than that can be effectively analyzed. Organizing this data has become one of the biggest problems in Computer Science. Many algorithms have been proposed for this purpose, highlighting those related to the Data Mining area, specifically the automatic document classification (ADC) algorithms. However, these(More)
The emergence of different applications that deal with growing amounts of data at reasonable times, has stimulated the development of new computing architectures consisting of different processing units (PU). Runtime environments have been proposed in order to exploit these resource as much as possible by offering a variety of methods for dynamically(More)
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