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- W8589957 abstract "Discovering interdependencies and causal relationships is one of the most relevant challenges raised by the information era. As more and better data become available, there is an urgent need for data-driven techniques with the capability of eciently detecting hidden interactions. As such, this important issue is receiving increasing attention in the recent literature. The aim of the Learning Causality Special Session is to bring together theory-oriented and practitioners of this fascinating discipline. The main streams of causality detection by Computational Intelligence will be covered, namely, the probabilistic, information-theoretic, and Granger approaches." @default.
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- W8589957 title "Computational Intelligence approaches to causality detection" @default.
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