Tools for Data Mining and Data Organisation

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

Credits info

2 EC
Participants have the opportunity to gain 2 ECTS credits from the University of Vienna for attending an Introductory or Advanced Courses (15 hours). Participants must successfully complete their course, and successfully complete their project assignment in order to obtain 2 ECTS credits – Transcripts will be sent to the participants by The University of Vienna.

For all courses being attended (Introductory, Advanced and/or Software Training Courses), participants also receive a certificate of attendance.

Certificates of accreditation (if applicable) as well as certificates of attendance are sent to the participants after the Winter School has ended, by the University of Vienna

Fee info

EUR 0: ECPR Member – €495
Non-ECPR Member – €690
ECPR Member who has attended the ECPR SSMT 2012* – €445
Non-ECPR Member who has attended the ECPR SSMT 2012* – €640
*There is a €50 loyalty discount deducted from all Introductory and Advanced Courses to participants who attended the 2012
Summer School in Methods and Techniques (SSMT) in Ljubljana (this discount does not apply to Software Training Courses).

Scholarships

Self funded students from ECPR member institutions will be able to apply for funding in the form of scholarship funds and travel and accommodation grants. Please use the following link for further information: http://new.ecprnet.eu/Funding/WinterSchool.as