title: Dataset limit dimension
body: <p>My aim is to produce significant rules on diagnostic data.</p>
  
  <p>I preprocess my dataset in arff no sparse format; I have 116000 instances and 28 attribute. 
  I apply Apriori algorithm in weka like this (using weka explorer interface)</p>
  
  <p><code>Apriori -N 20 -T 1 -C 0.8 -D 0.05 -U 1.0 -M 0.1 -M 0.1 -S -1.0 -c -1</code></p>
  
  <p>The algorithm seem to take a long time to finish.
  Currently are more than three hours that await the end. </p>
  
  <p>Is normal? There is a way to speed up the algorithm (preprocess the data in some other way, or choose some other parameter for Apriori)? or weka is not the right tool for this dimension?</p>