Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm.
Evelina LammaFabrizio RiguzziSergio StorariPublished in: ECAI (2004)
Keyphrases
- experimental evaluation
- preprocessing
- parameter tuning
- expectation maximization
- computational complexity
- linear programming
- fine tuning
- optimization algorithm
- computational cost
- dynamic programming
- optimal solution
- learning algorithm
- objective function
- recognition algorithm
- times faster
- clustering method
- detection algorithm
- theoretical analysis
- maximum likelihood
- worst case
- search space
- apriori algorithm
- cost function
- data mining
- optimal parameters
- maximum likelihood estimation
- significant improvement
- improved algorithm
- correlation coefficient
- parameter space
- similarity measure
- segmentation algorithm
- data sets
- k means
- np hard