@@ -97,12 +97,13 @@ To find the most probable outliers in the dataset, the best cause of action is t
\section{Association Mining}
In this part of the report, the data has to be binarized in order to use the Apriori algorithm to find associations between observations. Since the data of this report is full of categorical variables, the data has been one-out-of-K encoded for different intervals of each variable.
\subsection{Apriori Algorithm for Frequent Itemsets and Association Rules}
\textit{Find the frequent itemsets and the association rules with high confidence based on the results of the Apriori algorithm.}
\textit{Find the frequent itemsets and the association rules with high confidence based on the results of the Apriori algorithm.}\\
\subsection{Interpretation of the Association Rules}
\textit{Interpret the generated association rules.}
\textit{Interpret the generated association rules.}\\
