Possibly demand will be high during the initial two years but, if many initial users find the
product unsatisfactory, will fall to a low level thereafter. Or high initial demand might indicate …

Ten years ago, decision analysis was still an experimental management technique. But
even then supporters claimed that eventually it would become for the manager what …

Decision analysis consists of models and tools to improve decision making. It is especially
useful when decisions have multiple conflicting objectives and when their consequences …

On growing better decision trees from data On growing better decision trees from data Abstract
This thesis investigates the problem of growing decision trees from data, for the purposes of …

Algorithms for constructing decision trees are among the most well known and widely used
of all machine learning methods. Among decision tree algorithms, J. Ross Quinlan's ID3 and …

This article presents an algorithm for inducing multiclass decision trees with multivariate
tests at internal decision nodes. Each test is constructed by training a linear machine and …

Decision trees are a widely known formalism for expressing classification knowledge and
yet their straightforward use can be criticized on several grounds. Because results are …