In many, especially larger companies, terabytes of data are generated in short periods, for example, regarding customer purchasing behavior, products, or information needs. These extensive data sets contain valuable information for decision-makers and require the application of sophisticated mathematical and statistical methods for data analysis. With the mathematical and statistical methods summarized under data mining techniques, valuable preprocessing as well as decision-supporting data analyses are possible. This book develops an application architecture for data mining. A significant contribution lies in the systematic elaboration of data mining techniques and their application-related classification within the data mining application architecture (DMA).