Various practical systems capable of extracting descriptive decision-making knowledge from
data have been developed and evaluated. Techniques that represent knowledge about …

Many systems have been developed for constructing decision trees from collections of
examples. Although the decision trees generated by these methods are accurate and …

Many systems have been developed for constructing decision trees from collections of
examples. Although the decision trees generated by these methods are accurate and …

Studies of decision-making in such environments as nuclear power plants, urban fire
departments, command-and-control centers, and courtrooms are discussed. The studies …

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 …

A brief overview of the history of the development of decision tree induction algorithms is
followed by a review of techniques for dealing with missing attribute values in the operation …

The methods of representing and solving problems using decision analysis have undergone
little change in their twenty year history. The primary vehicle for both tasks has been the …

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 …

We consider the problem of optimally partitioning an n-dimensional lattice, L= L, X... X LN,
where Lj is a one-dimensional lattice with kj elements, by means of a binary tree into …

Computer systems for decision making and decision implementation vary widely in terms of
what they do and how they do it. The decision support system is not a homogeneous …