Bi-criteria optimization of decision trees with applications to data analysis

Algorithms for Multi-criteria Optimization in Possibilistic Decision Trees

This paper raises the question of solving multi-criteria sequential decision problems under uncertainty. It proposes to extend to possibilistic decision trees the decision rules presented in [1] for non sequential problems. It present a series of algorithms for this new framework: Dynamic Programming can be used and provide an optimal strategy for rules that satisfy the property of monotonicity...

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function

„data Mining” Decision Trees Algorithms Optimization

Data Mining with Decision Trees - Theory and Applications

By reading, you can know the knowledge and things more, not only about what you get from people to people. Book will be more trusted. As this data mining with decision trees theory and applications 2nd edition series in machine perception and artifical intelligence series in machine perception and artificial intelligence, it will really give you the good idea to be successful. It is not only fo...

New Splitting Criteria for Decision Trees in Stationary Data Streams.

The most popular tools for stream data mining are based on decision trees. In previous 15 years, all designed methods, headed by the very fast decision tree algorithm, relayed on Hoeffding's inequality and hundreds of researchers followed this scheme. Recently, we have demonstrated that although the Hoeffding decision trees are an effective tool for dealing with stream data, they are a purely h...