Philipp Singer

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PhD Student and Research Assistant at the GESIS Leibniz Institute for Social Sciences in Cologne. I am interested in statistics, machine learning, social network analysis and web science. My research focuses on the interplay between pragmatic patterns (i.e., how users are using the systems and how their behavior inside this systems is) in social media environments and semantics in such systems. Specialities: data science, machine learning, social network analysis, data mining, web science, statistical programming, python

bayes statistics

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Philipp Singer

Présentations

Sequential Action Patterns in Collaborative Ontology Engineering Projects: A Case-study in the Biomedical Domain

HypTrails: A Bayesian Approach for Comparing Hypotheses about Human Trails on the Web

Modeling and Mining Sequential Data

Introduction to Bayesian Statistics

J’aime

An Introduction to Multilevel Regression Modeling for Prediction

Machine Learning in R

Modeling with Hadoop kdd2011

Social computation of emergent networks on user generated content