title: Association Rule Mining on Categorical Data with a High Number of Values for Each Attribute
body: <p>I am struggling with association rule mining for a data set, the data set has a lot of binary attributes but also has a lot of categorical attributes. Converting the categorical to binary is theoretically possible but not practical. I am searching for a technique to overcome this issue.</p>
  
  <p>Example of data for a car specifications, to execute association rule mining, the car color attribute should be a binary, and in the case of colors, we have a a lot of colors to be transferred to binary (My data set is insurance claims and its much worse than this example).</p>