Ana Estela Antunes da Silva

• Brazilian Conference on Intelligent Systems 2017, AR.BR

• Abstract

  Competitiveness among business organizations requires the development of strategies to anticipate threats and opportunities. Competitive intelligence considers that it is possible to monitor these threats and opportunities using weak signals (WS). WS are initial information on emerging and unknown phenomena whose analysis can provide strategic knowledge to companies. Conventional methods …

  Web crawler for weak signals´ searching via prioritization of specific sources of information, BP.IC

• Abstract

  This project aims to explore a set of association rules through hierarchical clustering as a way to preprocess the rules. The goal is to have a limited set of association rules based on the creation of groups which would indicate promising rules. Both the data used in the clustering and the construction of the rules, will be data, which are involved in the prediction of solar explosions i…

  Exploratory study of association rules to analyse solar flare atributes through aglomerative hierarchical clustering, BP.IC

• Abstract

  Solar flares are explosions on the surface of the Sun caused by sudden changes in the magnetic field of its surface. An explosion happens when the magnetic fields of different polarities around the Sun connect to others and create magnetic arches. Solar flares are classified according to their power. Their consequences can affect orbiting satellites, cause interruptions in the power distr…

  Solar explosion forecasting through time-series of X-ray fluxes via MLP neural nets, BP.IC

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