Planning tasks for knowledge discovery in databases. Performing task-oriented user-guidance

Performing the complex task of Knowledge Discovery in Databases (KDD) requires a break-down of the task-complexity to enable the possibilityofperforming the KDD-task. Since even more techniques will appear in the future that can solveavarietyof KDD-problems, a domain expert that wants to analyse his domain should have the means to work with tools that integrate several of these techniques as well as the techniques themselves. In this paper a framework is proposed for a strategy component that is to be used for a KDD-system that can guide users in breaking down the complexity of a typical KDD-task and supports him in selecting and using several ML-techniques. The goals