Data mining techniques are widely used in solving real-time problems in terms
of prediction and discovery of trends that led to expert decision-making. Association Rule Mining
(ARM) is one of the data mining techniques that are used to find relationships or
associations among entities. However, a causal relationship is different from simple
associations or correlations among variables. An event X may trigger another event Y due
to a cause and effect relationship. This kind of relationship mining
has positive implications in many domain-specific applications.
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