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Data Mining and Text Mining on Survey Data
Machine Learning and Data Mining has been used with large success in biology,
linguistics and many more. Its application to survey data, however, has been quite
limited. One reason, naturally, is the concern about “data-driven” research, another
reason is the limited knowledge of many practitioners regarding the methods and
limitations. The goal of this workshop is to present research on survey data that utilizes
data mining or text mining, but also to give a voice to concerns regarding these
methods and to discuss boundaries and open problems that might be solved with data
mining methods. This workshop will be organized by Dr. Angelika Scheuer and Dr.
Brigitte Mathiak, both from GESIS - Leibniz institute for the Social Sciences. Dr.
Mathiak has a PhD in computer science with broad experience in Data Mining in
various domains, such as bioinformatics and image processing. Dr. Scheuer is social
scientist with special interest in the comparative analysis of international surveys with a
view on political and social attitudes. The Call for Paper for the workshop will be
circulated both in both communities: survey methodologist and data miners. It is
planned to include time slots for a tutorial on Data Mining for Survey Data should the
number of acceptable submissions not suffice for a full programme. Target Audience:
interested Survey Researcher, Computer Scientists.