Data mining can be defined as a set of techniques for knowledge extraction and search of useful and previously unknown patterns in large multidimensional databases. Clustering is the process of discovering data clusters ...

The main idea of ensemble learning is improved machine learning results by combining several models. Initially applied to supervised learning, this approach usually produces better results in comparison with single ...

The amount of collected and stored information is growing every day in several areas of knowledge and data mining techniques are applied to these datasets in order to extract useful knowledge. One or another algorithm, ...

With the increase of the size on the data sets used in classi cation systems, selecting the most relevant attribute has become one of the main tasks in pre-processing phase. In a dataset, it is expected that all attributes ...

With the fast growing of complex data in real world applications, the feature selection becomes a mandatory preprocessing step in any application to reduce both the complexity of the data and the computing time. Based ...

O presente trabalho busca estudar uma forma de detectar os regimes do mercado. Isto é feito através das curvas de juros que o próprio mercado está negociando, onde relacionamos as taxas que estão sendo negociadas com seu ...