I am a doctoral candidate researching in the areas of inductive (Likelihood-based) fuzzy logic applied to data analytics. The currently proposed area of application of my algorithms is marketing analytics.
• Kaufmann, M., Meier, A.: An Inductive Fuzzy Classification Approach applied to Individual Marketing, Internal Working Paper, University of Fribourg, 2008.
• Kaufmann M., Meier A.: An Inductive Fuzzy Classification Approach applied to Individual Marketing. The 28th North American Fuzzy Information Processing Society Annual Conference, June 2009, Cincinnati Ohio, USA
• Zumstein, D., Kaufmann, M.: A Fuzzy Web Analytics Model for Web Mining, In: Proc. of the IADIS Europ. Conference on Data Mining 2009 (MCCSIS), June 18-20, Algarve, Portugal, pp.59-66.
• Kaufmann M.: An Inductive Approach to Fuzzy Marketing Analytics. The 13th IASTED International Conference on Artificial Intelligence and Soft Computing, September 2009, Palma de Mallorca, Spain, pp. 107 - 112
• Zumstein, D., Meier, A., Kaufmann, M.: Erfolgsmessung von NPOWebplattformen, In: Fachzeitschrift für Verbands- und Nonprofit-Management (VM), 35. Jg., 3/2009.
• Kaufmann M., Graf C.: Inductive Fuzzy Classification for Analytic CRM. In: Meier A. & Donzé L. (Eds.), Handbook of Research in Fuzzy Methods for Marketing and CRM (2012)