Sebastian Schelter

According to our database1, Sebastian Schelter authored at least 23 papers between 2012 and 2018.

Collaborative distances :
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
Automating Large-Scale Data Quality Verification.
PVLDB, 2018

On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl.
J. Web Science, 2018

2017
BlockJoin: Efficient Matrix Partitioning Through Joins.
PVLDB, 2017

Probabilistic Demand Forecasting at Scale.
PVLDB, 2017

'Dark Germany': Hidden Patterns of Participation in Online Far-Right Protests Against Refugee Housing.
CoRR, 2017

'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

2016
Scaling data mining in massively parallel dataflow systems.
PhD thesis, 2016

Doubly stochastic large scale kernel learning with the empirical kernel map.
CoRR, 2016

On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl.
CoRR, 2016

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

2015
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

2014
The Stratosphere platform for big data analytics.
VLDB J., 2014

Factorbird - a Parameter Server Approach to Distributed Matrix Factorization.
CoRR, 2014

Scaling data mining in massively parallel dataflow systems.
Proceedings of the International Conference on Management of Data, 2014

2013
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

2012
Scalable similarity-based neighborhood methods with MapReduce.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012


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