Philipp Singer


Data Scientist

About


Philipp Singer is a Senior Data Scientist at UNIQA Insurance Group in Vienna. Previously, he was working as a post doctoral researcher at the Data Science Lab of GESIS. Philipp obtained a PhD in computer science with honors at the Technical University of Graz where he also finished his Master studies in Software Development and Business Management.

Philipp is passionate about machine learning, statistics, data mining, programming, blockchain, and many further related fields. During his career, he has obtained several honors including a best paper award at the renowned World Wide Web Conference. He loves supporting and enabling data-driven decision making, developing data services, as well as teaching and mentoring. Philipp is also always eager to delve into new bleeding-edge fields and technologies.

Publications


Selected publications

  • Philipp Singer*, Florian Lemmerich*, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier and Jure Leskovec (* equal contribution), Why We Read Wikipedia, 26th International World Wide Web Conference, Perth, Australia, 2017 (acceptance rate 164/966, 17% quota) [PDF] [arXiv]
  • Claudia Wagner*, Philipp Singer*, Fariba Karimi, Jürgen Pfeffer and Markus Strohmaier (* equal contribution), Sampling from social networks with attributes, 26th International World Wide Web Conference, Perth, Australia, 2017 (acceptance rate 164/966, 17% quota) [PDF] [arXiv]
  • Dimitar Dimitrov*, Philipp Singer*, Florian Lemmerich and Markus Strohmaier (* equal contribution), What Makes a Link Successful on Wikipedia?, 26th International World Wide Web Conference, Perth, Australia, 2017 (acceptance rate 164/966, 17% quota) [PDF] [arXiv]
  • Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho and Markus Strohmaier, Mining Subgroups with Exceptional Transition Behavior, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Francisco, USA, 2016 (full paper acceptance rate 70/784, 9% quota) [PDF]
  • Philipp Singer, Denis Helic, Andreas Hotho and Markus Strohmaier, HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web, 24th International World Wide Web Conference, Florence, Italy, 2015 (Best Paper Award) (acceptance rate 131/929, 14.10% quota) [PDF] [arXiv] [Slides] [Tutorial] [Talk] [Code]
  • Philipp Singer, Denis Helic, Behnam Taraghi and Markus Strohmaier, Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order, PLoS ONE, vol 9(9), 2014 [HTML/PDF] [arXiv] [Code]
  • Philipp Singer*, Fabian Flöck*, Clemens Meinhart, Elias Zeitfogel and Markus Strohmaier (* equal contribution), Evolution of Reddit: From the Front Page of the Internet to a Self-referential Community?, Web-Science Track at the 23rd International World Wide Web Conference, Seoul, South Korea, 2014 [PDF] [arXiv] [Data]

Theses

  • Philipp Singer, Modeling Aspects of Human Trails on the Web, Ph.D. Thesis,  Graz University of Technology, Graz, 2014. Supervisor: Dr. Markus Strohmaier [PDF]
  • Philipp Singer, Time Series Analysis of Online Social Network Data and Content, Master's Thesis, Graz University of Technology, Graz, 2011. Supervisor: Dr. Markus Strohmaier [PDF]

For a full list of publications including all peer-reviewed journal, conference, workshop, and poster/demo track publications, as well as book chapters and tutorials, please refer to the following PDF download link.

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