Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications

摘要

Here is presented CAMLET that is a platform for automatic composition of inductive applications using ontologies that specify inductive learning methods. CAMLET constructs inductive applications using process and object ontologies. We have applied CAMLET to a meningoencephalitis dataset and evaluated CAMLET. The experimental results have shown us that it supports a human expert in discovering knowledge interesting to him.