F-IVM: Analytics over Relational Databases under Updates

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Paper: F-IVM: Analytics over Relational Databases under Updates, VLDBJ, 2023

Ten Years of Factorized Databases

by Dan Olteanu
Test-of-Time Award Talk at the 25th International Conference on Database Theory
Paper: Factorised Representations of Query Results: Size Bounds and Readability, ICDT 2012

Machine Learning over Static and Dynamic Relational Data | Part 1 Introduction

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tutorial of 15th ACM International Conference on Distributed and Event-Based Systems
Paper: https://dl.acm.org/doi/10.1145/3465480.3467843

Machine Learning over Static and Dynamic Relational Data | Part 2 Idea 1

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tutorial of 15th ACM International Conference on Distributed and Event-Based Systems
Paper: https://dl.acm.org/doi/10.1145/3465480.3467843

Machine Learning over Static and Dynamic Relational Data | Part 3 Idea 2

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tutorial of 15th ACM International Conference on Distributed and Event-Based Systems
Paper: https://dl.acm.org/doi/10.1145/3465480.3467843

Machine Learning over Static and Dynamic Relational Data | Part 4 Idea 3

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tutorial of 15th ACM International Conference on Distributed and Event-Based Systems
Paper: https://dl.acm.org/doi/10.1145/3465480.3467843

Machine Learning over Static and Dynamic Relational Data | Part 5 Conclusion

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tutorial of 15th ACM International Conference on Distributed and Event-Based Systems
Paper: https://dl.acm.org/doi/10.1145/3465480.3467843

Rk-means: Fast Clustering for Relational Data

by Ryan Curtin, Ben Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich.
Artificial Intelligence and Statistics 2020
Paper: https://arxiv.org/abs/1910.04939

The Relational Data Borg is Learning Part 1

by Dan Olteanu
Keynote of VLDB International Conference on Very Large Data Bases 2020
Paper: http://www.vldb.org/pvldb/vol13/p3502-olteanu.pdf
More information

The Relational Data Borg is Learning Part 2

by Dan Olteanu
Keynote of VLDB International Conference on Very Large Data Bases 2020
Paper: http://www.vldb.org/pvldb/vol13/p3502-olteanu.pdf
More information

LMFAO: An Engine for Batches of Group-By Aggregates

Layered Multiple Functional Aggregate Optimization
by Maximilian Schleich and Dan Olteanu
VLDB International Conference on Very Large Data Bases 2020
Paper: https://arxiv.org/abs/1906.08687

F-IVM: Learning over Fast-Evolving Relational Data

by Milos Nikolic, Haozhe Zhang, Dan Olteanu, and Ahmet Kara
ACM SIGMOD/PODS International Conference on Management of Data 2020
Paper: https://arxiv.org/abs/2006.00694

Trade-Offs in Static and Dynamic Query Evaluation

by Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
ACM Principles of Database Systems 2020
Paper: https://arxiv.org/abs/1907.01988
Slides: http://www.cs.ox.ac.uk/dan.olteanu/tutorials/dagstuhl20.pdf
Erratum: At minute 8:50 Ahmet says "linear" but it should be "N^0.5" instead.

From Joins to Aggregates and Optimization Problems. Part 1

by Dan Olteanu
January 2019
University of Warsaw

The lectures were part of the "PhD Open" program organised by the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw ( http://phdopen.mimuw.edu.pl ). More information, including the slides to the lecture, can be found at: http://phdopen.mimuw.edu.pl/index.php?page=z18w4

From Joins to Aggregates and Optimization Problems. Part 2

by Dan Olteanu
January 2019
University of Warsaw

The lectures were part of the "PhD Open" program organised by the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw ( http://phdopen.mimuw.edu.pl ). More information, including the slides to the lecture, can be found at: http://phdopen.mimuw.edu.pl/index.php?page=z18w4

From Joins to Aggregates and Optimization Problems. Part 3

by Dan Olteanu
January 2019
University of Warsaw

The lectures were part of the "PhD Open" program organised by the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw ( http://phdopen.mimuw.edu.pl ). More information, including the slides to the lecture, can be found at: http://phdopen.mimuw.edu.pl/index.php?page=z18w4

From joins to aggregates and optimisation problems

by Dan Olteanu
January 2018
Data science class on recent advances on the foundations of database query processing
Alan Turing Institute

In-Database Factorised Learning

by Dan Olteanu
December 2017
Logic for Data Science Seminar
Alan Turing Institute

Factorised Databases

by Dan Olteanu
November 2017
Alan Turing Institute