A Method for Assessing Parameter Impact on Control-Flow Discovery Algorithms.

Joel Ribeiro Josep Carmona

Published in: ATAED@Petri Nets/ACSD (2015)

Keyphrases

computational cost
significant improvement
theoretical analysis
computationally efficient
computational complexity
database
learning algorithm
decision trees
convergence rate
data flow
control flow
real world
machine learning
support vector machine
error rate
stopping criterion