Gunter Ritter

Skript aus dem Jahr 2014 im Fachbereich BWL - Handel und Distribution, , Veranstaltung: Unterricht in Klassen Auslandskorrespondent: Schwerpunkt Wirtschaft, Sprache: Deutsch, Abstract: Das Außenhandelsskript behandelt alle wesentlichen Inhalte des Lehrplans für das Fach Außenhandelslehre für Euro-Management-Assistenten. Der Fachlehrplan wurde vom ISB-Bayern verbindlich zum Schuljahr 2013/2014 eingeführt. Mit dem Skript werden zudem weite Teile des Lehrplans des Lehrberufes der Groß- und Außenhandelskaufleute abgedeckt.

Außenwirtschaftslehre. Chancen und Risiken, Institutionen, Auslandsgeschäfte, Finanzierung und Absicherung

Wolfgang A. Gaul

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000

Classification, Automation, and New Media

Maurizio Vichi

Antonio Giusti

​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".​

Classification and Data Mining

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.

Gunter Ritter

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