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Goals of Analysis for Visualization and Visual Data Mining Tasks

Extensive work has been done in the area of visual data mining in the last few years. This includes the development of visual and non-visual mining methods for large, heterogeneous and uncertain data. An appropriate selection and parameterization of such mining techniques are sensitive processes, especially if we have to consider highly complex analysis environments. One of the most important factors are goals of analysis, which specify the user’s intentions in the analysis process. This paper describes a new, general specification for goals of analysis. It extends existing approaches by aspects of importance for real-world application scenarios.