Tools for Data Mining and Data Organisation

About

The course will present an overview of available techniques in the domain of data and text mining. The course is separated into five main domains:
 General Introduction: Science II, Pattern Recognition, Data Visualization
 Access to Large-Scale Quantitative and Qualitative Data
 Basic Algorithms for Data and Text Mining
 Advanced Algorithms for Data and Text Mining
 Research Frontiers in Data Mining
The main goal in each of these five units is to provide a short theoretical background as well as a number of practical examples for the students which should be relevant for their future work in the field of data and text mining.

Course leader

Karl H. Müller WISDOM (Wiener Institute for Social Science Documentation and Methodology)

Target group

advanced students and junior researchers in political science and adjacent disciplines

Course aim

as above