Short Bio

Dr. Christian Buchta received his doctoral degree in Economics and Business Administration from WU-Wien in 1994. He was with the Institute for Tourism and Leisure Studies at WUWien in the position of assistant professor in the Management Science program from 2003 to 2009. He taught courses in the areas of data mining and data warehousing, Internet, and marketing engineering. His research interests include simulation of consumer markets, Web technologies, or sequence and text mining.

From 2006 to 2008 he was in the position of project leader of Dynamic Packaging at ITF and a project member of Recommender Systems for Trading Stocks at the Institute for Production Management. For the former project he explored selective association rule mining on the Austrian Guest Survey data and semantic analysis of search queries on www.austria.info. For the latter project he designed and implemented the online data acquisition and recommender processes. During his time in consulting he designed and implemented a forecasting model of daily, nationwide levels of calls by tariff categories for Telekom Austria. He has a comprehensive knowledge of operations research methods, statistics, and computer science. He is proficient in modeling, algorithm and systems design and has a professionallevel knowledge of scripting and programming languages such as C, C++, Java, Perl, PHP, SQL, and javascript. He has been working with the Linux operating system since 1993. He is the (co)author of several packages of the open source statistical software R.

Selected Publications

• Hornik, Kurt, Buchta, Christian, Schauerhuber, Michael, Meyer, David, Zeileis, Achim. 2007. Open-source machine learning: R meets Weka. GfKI 2007, Freiburg, Germany, 07.03.-09.03.

• Hahsler, Michael, Hornik, Kurt, Buchta, Christian. 2008. Getting Things in Order: An Introduction to the R Package Seriation. Journal of Statistical Software 25 (3): 1-34.

• Hahsler, Michael, Buchta, Christian, Hornik, Kurt. 2008. Selective Association Rule Generation.. Computational Statistics 23 (2): 303-315.

• Buchta, Christian, Robert, Kofler, Mild, Andreas, Reutterer, Thomas. 2007. VIC: A Stock Market Recommender System. The 31st Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications, Freiburg i. Br., Germany , Deutschland, March 7-9, 2007.

• Buchta, Christian. 2006. Improving the Probabilistic Modeling of Market Basket Data. The 30th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications, Berlin, Germany, March 6-8, 2006.

• Buchta, C., Mazanec, J. A.. 2005. Modeling Consumer Behavior: Basic Concepts and a Discrete-Time Model. in: Taudes, A. (ed.), Adaptive Information Systems and Modelling in Economics and Management Science, Springer, Vienna-New York 2005, 23-44.

• Meyer, D., Buchta, Ch., Karatzoglou, A., Leisch, F., Hornik, K.. 2003. A simulation Framework for Heterogeneous Agents. Computational Economics, 22 (2): 285-301.

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