Armstrong databases are a popular tool in example-based database design. An Armstrong database for a given constraint set from a fixed constraint class Z satisfies precisely those ...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
It is widely accepted practice to build domain models as a conceptual basis for software systems. Normally, the conceptual schema cannot be supplied by domain experts but is constr...
Sebastian Bossung, Hans-Werner Sehring, Henner Car...
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...