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Data Analysis

In: Currents in Industrial Mathematics

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  • Patrick Lang

  • Jürgen Franke

Abstract

Data analysis, in its various forms and manifestations, plays a role in many of the practical problems addressed at the Fraunhofer ITWM. This chapter offers insights into typical data analysis questions and the procedures we use to find appropriate answers. Our focus here is on the relationship to the application and the presentation of those methods that have proven themselves effective in our work, rather than on providing a complete methodological overview. We first discuss aspects that directly concern the data, such as data source, data quality, information richness, data integration, and data pre-processing. Then, we turn our attention to methods of data-based modeling from the fields of data mining and machine learning. We examine these methods from the perspective of statistical learning theory, returning in each instance to their relationship to the practical problems under consideration.

Suggested Citation

  • Patrick Lang & Jürgen Franke, 2015. "Data Analysis," Springer Books, in: Helmut Neunzert & Dieter Prätzel-Wolters (ed.), Currents in Industrial Mathematics, edition 1, pages 65-82, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-48258-2_4
    DOI: 10.1007/978-3-662-48258-2_4
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