According to our database1, Sebastian Schelter authored at least 19 papers between 2012 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Automating Large-Scale Data Quality Verification.
On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl.
J. Web Science, 2018
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
BlockJoin: Efficient Matrix Partitioning Through Joins.
Probabilistic Demand Forecasting at Scale.
'Dark Germany': Temporal Characteristics and Connectivity Patterns in Online Far-Right Protests Against Refugee Housing.
Proceedings of the 2017 ACM on Web Science Conference, 2017
'Dark Germany': Hidden Patterns of Participation in Online Far-Right Protests Against Refugee Housing.
Proceedings of the Social Informatics, 2017
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems.
Proceedings of the Datenbanksysteme für Business, 2017
Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers.
Proceedings of the Tenth International Conference on Web and Social Media, 2016
Structural Patterns in the Rise of Germany's New Right on Facebook.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Apache Flink: Stream Analytics at Scale.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop, 2016
Optimistic Recovery for Iterative Dataflows in Action.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Efficient sample generation for scalable meta learning.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
The Stratosphere platform for big data analytics.
VLDB J., 2014
Scaling data mining in massively parallel dataflow systems.
Proceedings of the International Conference on Management of Data, 2014
Iterative parallel data processing with stratosphere: an inside look.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Distributed matrix factorization with mapreduce using a series of broadcast-joins.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
"All roads lead to Rome": optimistic recovery for distributed iterative data processing.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Scalable similarity-based neighborhood methods with MapReduce.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012