Data Mining Lecture by Stefan Bosse › view all

"Data Mining with Machine Learning for the Social Sciences"

Since Computational Social Science is a growing topic that covers many various facets, the BIGSSS Methods Center and SOCIUM Methodenforschung present a pair of events on this topic. The first lecture takes place on May 18th, 12:00hrs, at University of Bremen, UNICOM, House 3, Room 3.3390:

PD Dr. Stefan Bosse from Universität Bremen gives a talk on "Data Mining with Machine Learning for the Social Sciences".

Abstract:

Data mining, especially as applied to social science data, is a rapidly changing and emerging field.
Data mining (DM) is the name given to a variety of computer-intensive techniques for discovering structure and for analyzing patterns in data. Using those patterns, DM can create predictive models, or classify things, or identify different groups or clusters of cases within data. Data mining uses machine learning and predictive analytics that are already widely used in technical areas and business and are starting to spread into social science and other areas of research. This talk will give an introduction to machine learning techniques, its challenges, applications, and pitfalls closely related to social sciences.

About the BIGSSS Lecture Series:

Each semester the Graduate School invites a mix of established and young scholars to present their work to the students and the faculty of the School as well as to the wider interested public. Taking place every other week, the Lecture Series is the central meeting point for the entire Graduate School and provides an excellent opportunity for engaging in intensive, interdisciplinary, scholarly debate.