Dan Olteanu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 85

Top Venues

CoRR

Proc. VLDB Endow.

ACM Trans. Database Syst.

ICDT

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
F-IVM: analytics over relational databases under updates. VLDB J. 33 (4) (2024)
Ahmet Kara, Zheng Luo, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Tractable Conjunctive Queries over Static and Dynamic Relations. CoRR (2024)
Dan Olteanu, Nils Vortmeier, Dorde Zivanovic
Givens rotations for QR decomposition, SVD and PCA over database joins. VLDB J. 33 (4) (2024)
Dan Olteanu
Recent Increments in Incremental View Maintenance. PODS Companion (2024)
Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
Banzhaf Values for Facts in Query Answering. Proc. ACM Manag. Data 2 (3) (2024)
Dan Olteanu
Technical Perspective: A Fresh Look at Stream Computation through DSP Glasses. SIGMOD Rec. 53 (1) (2024)
Ahmet Kara, Dan Olteanu, Dan Suciu
From Shapley Value to Model Counting and Back. Proc. ACM Manag. Data 2 (2) (2024)
Dan Olteanu
Recent Increments in Incremental View Maintenance. CoRR (2024)
Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu
CHORUS: Foundation Models for Unified Data Discovery and Exploration. Proc. VLDB Endow. 17 (8) (2024)
Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu, Dan Suciu
-Norms on Degree Sequences. Proc. ACM Manag. Data 2 (2) (2024)
Omer Abramovich, Daniel Deutch, Nave Frost, Ahmet Kara, Dan Olteanu
Banzhaf Values for Facts in Query Answering. CoRR (2023)
Ahmet Kara, Dan Olteanu, Dan Suciu
From Shapley Value to Model Counting and Back. CoRR (2023)
Junxiong Wang, Mitchell Gray, Immanuel Trummer, Ahmet Kara, Dan Olteanu
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning. Proc. VLDB Endow. 16 (12) (2023)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Conjunctive Queries with Free Access Patterns Under Updates. ICDT (2023)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Evaluation Trade-Offs for Acyclic Conjunctive Queries. CSL (2023)
Dan Olteanu
Report on the Workshop on Factorized Databases. SIGMOD Rec. 52 (2) (2023)
Mahmoud Abo Khamis, Ahmet Kara, Dan Olteanu, Dan Suciu
Insert-Only versus Insert-Delete in Dynamic Query Evaluation. CoRR (2023)
Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu
CHORUS: Foundation Models for Unified Data Discovery and Exploration. CoRR (2023)
Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. Proc. VLDB Endow. 16 (11) (2023)
Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning. CoRR (2023)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
F-IVM: Analytics over Relational Databases under Updates. CoRR (2023)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries. Log. Methods Comput. Sci. 19 (3) (2023)
Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu, Dan Suciu
Join Size Bounds using Lp-Norms on Degree Sequences. CoRR (2023)
Dan Olteanu, Nils Vortmeier, Dorde Zivanovic
Givens QR Decomposition over Relational Databases. CoRR (2022)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Conjunctive Queries with Output Access Patterns under Updates. CoRR (2022)
Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu
Functional collection programming with semi-ring dictionaries. Proc. ACM Program. Lang. 6 (OOPSLA) (2022)
Mahmoud Abo Khamis, George Chichirim, Antonia Kormpa, Dan Olteanu
The Complexity of Boolean Conjunctive Queries with Intersection Joins. PODS (2022)
Dan Olteanu, Nils Vortmeier, Dorde Zivanovic
Givens QR Decomposition over Relational Databases. SIGMOD Conference (2022)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Machine learning over static and dynamic relational data. DEBS (2021)
Amir Shaikhha, Maximilian Schleich, Dan Olteanu
An Intermediate Representation for Hybrid Database and Machine Learning Workloads. Proc. VLDB Endow. 14 (12) (2021)
Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu
Functional Collection Programming with Semi-Ring Dictionaries. CoRR (2021)
Dan Olteanu
Technical Perspective: Probabilistic Data with Continuous Distributions. SIGMOD Rec. 50 (1) (2021)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Machine Learning over Static and Dynamic Relational Data. CoRR (2021)
Mahmoud Abo Khamis, George Chichirim, Antonia Kormpa, Dan Olteanu
The Complexity of Boolean Conjunctive Queries with Intersection Joins. CoRR (2021)
Maximilian Schleich, Dan Olteanu
LMFAO: An Engine for Batches of Group-By Aggregates. CoRR (2020)
Ahmet Kara, Hung Q. Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Maintaining Triangle Queries under Updates. ACM Trans. Database Syst. 45 (3) (2020)
Milos Nikolic, Haozhe Zhang, Ahmet Kara, Dan Olteanu
F-IVM: Learning over Fast-Evolving Relational Data. CoRR (2020)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. AISTATS (2020)
Maximilian Schleich, Dan Olteanu
LMFAO: An Engine for Batches of Group-By Aggregates. Proc. VLDB Endow. 13 (12) (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer Optimizations for End-to-End Data Analytics. CoRR (2020)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries. PODS (2020)
Dan Olteanu
The Relational Data Borg is Learning. Proc. VLDB Endow. 13 (12) (2020)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies. ACM Trans. Database Syst. 45 (2) (2020)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Functional Aggregate Queries with Additive Inequalities. ACM Trans. Database Syst. 45 (4) (2020)
Milos Nikolic, Haozhe Zhang, Ahmet Kara, Dan Olteanu
F-IVM: Learning over Fast-Evolving Relational Data. SIGMOD Conference (2020)
Ahmet Kara, Milos Nikolic, Hung Q. Ngo, Dan Olteanu, Haozhe Zhang
Maintaining Triangle Queries under Updates. CoRR (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer optimizations for end-to-end data analytics. CGO (2020)
Dan Olteanu
The Relational Data Borg is Learning. CoRR (2020)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
Learning Models over Relational Data: A Brief Tutorial. CoRR (2019)
Ahmet Kara, Hung Q. Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Counting Triangles under Updates in Worst-Case Optimal Time. ICDT (2019)
Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
Rk-means: Fast Clustering for Relational Data. CoRR (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
A Layered Aggregate Engine for Analytics Workloads. SIGMOD Conference (2019)
Mikaël Monet, Dan Olteanu
Towards Deterministic Decomposable Circuits for Safe Queries. CoRR (2019)
Iman Elghandour, Ahmet Kara, Dan Olteanu, Stijn Vansummeren
Incremental Techniques for Large-Scale Dynamic Query Processing. CoRR (2019)
Mahmoud Abo Khamis, Hung Q. Ngo, Dan Olteanu, Dan Suciu
Boolean Tensor Decomposition for Conjunctive Queries with Negation. ICDT (2019)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. PODS (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
Learning Models over Relational Data: A Brief Tutorial. SUM (2019)
Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries. CoRR (2019)
Dan Olteanu
Learning Models over Relational Databases (Invited Talk). ICDT (2019)
Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen
A Layered Aggregate Engine for Analytics Workloads. CoRR (2019)
Ahmet Kara, Dan Olteanu
Covers of Query Results. ICDT (2018)
Mikaël Monet, Dan Olteanu
Towards Deterministic Decomposable Circuits for Safe Queries. AMW (2018)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
AC/DC: In-Database Learning Thunderstruck. DEEM@SIGMOD (2018)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
AC/DC: In-Database Learning Thunderstruck. CoRR (2018)
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
On Functional Aggregate Queries with Additive Inequalities. CoRR (2018)
Ahmet Kara, Hung Q. Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Counting Triangles under Updates. AMW (2018)
Iman Elghandour, Ahmet Kara, Dan Olteanu, Stijn Vansummeren
Incremental Techniques for Large-Scale Dynamic Query Processing. CIKM (2018)
Milos Nikolic, Dan Olteanu
Incremental View Maintenance with Triple Lock Factorization Benefits. SIGMOD Conference (2018)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Learning with Sparse Tensors. PODS (2018)
Ahmet Kara, Hung Q. Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang
Counting Triangles under Updates in Worst-Case Optimal Time. CoRR (2018)
Dan Olteanu
Technical Perspective: Juggling Functions Inside a Database. SIGMOD Rec. 46 (1) (2017)
Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Factorized Learning. AMW (2017)
Dan Olteanu, Florin Rusu
Special issue on in-database analytics. Distributed Parallel Databases 35 (3-4) (2017)
Vince Bárány, Balder ten Cate, Benny Kimelfeld, Dan Olteanu, Zografoula Vagena
Declarative Probabilistic Programming with Datalog. ACM Trans. Database Syst. 42 (4) (2017)
Mahmoud Abo Khamis, Hung Q. Ngo, Dan Olteanu, Dan Suciu
Boolean Tensor Decomposition for Conjunctive Queries with Negation. CoRR (2017)
Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
In-Database Learning with Sparse Tensors. CoRR (2017)
Ahmet Kara, Dan Olteanu
Covers of Query Results. CoRR (2017)
Milos Nikolic, Dan Olteanu
Incremental Maintenance of Regression Models over Joins. CoRR (2017)
Dan Olteanu, Maximilian Schleich
F: Regression Models over Factorized Views. Proc. VLDB Endow. 9 (13) (2016)
Vince Bárány, Balder ten Cate, Benny Kimelfeld, Dan Olteanu, Zografoula Vagena
Declarative Probabilistic Programming with Datalog. ICDT (2016)
Dan Olteanu, Maximilian Schleich
Factorized Databases. SIGMOD Rec. 45 (2) (2016)
Maximilian Schleich, Dan Olteanu, Radu Ciucanu
Learning Linear Regression Models over Factorized Joins. SIGMOD Conference (2016)
Robert Fink, Dan Olteanu
Dichotomies for Queries with Negation in Probabilistic Databases. ACM Trans. Database Syst. 41 (1) (2016)
Dan Olteanu
Factorized Databases: A Knowledge Compilation Perspective. AAAI Workshop: Beyond NP (2016)
Dan Olteanu, Sebastiaan J. van Schaik
ENFrame: A Framework for Processing Probabilistic Data. ACM Trans. Database Syst. 41 (1) (2016)
Molham Aref, Balder ten Cate, Todd J. Green, Benny Kimelfeld, Dan Olteanu, Emir Pasalic, Todd L. Veldhuizen, Geoffrey Washburn
Design and Implementation of the LogicBlox System. SIGMOD Conference (2015)
Todd J. Green, Dan Olteanu, Geoffrey Washburn
Live Programming in the LogicBlox System: A MetaLogiQL Approach. Proc. VLDB Endow. 8 (12) (2015)
Balder ten Cate, Benny Kimelfeld, Dan Olteanu
PPDL: Probabilistic Programming with Datalog. AMW (2015)
Dan Olteanu
Factorized Databases: Past and Future Past. AMW (2015)
Dan Olteanu, Jakub Závodný
Size Bounds for Factorised Representations of Query Results. ACM Trans. Database Syst. 40 (1) (2015)
Dan Olteanu, Sebastiaan J. van Schaik
Probabilistic Data Programming with ENFrame. IEEE Data Eng. Bull. 37 (3) (2014)
Vince Bárány, Balder ten Cate, Benny Kimelfeld, Dan Olteanu, Zografoula Vagena
Declarative Statistical Modeling with Datalog. CoRR (2014)
Sebastiaan J. van Schaik, Dan Olteanu, Robert Fink
ENFrame: A Platform for Processing Probabilistic Data. EDBT (2014)
Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks, Dan Olteanu
Parallel OWL 2 RL Materialisation in Centralised, Main-Memory RDF Systems. Description Logics (2014)
Robert Fink, Dan Olteanu
A dichotomy for non-repeating queries with negation in probabilistic databases. PODS (2014)
Boris Motik, Yavor Nenov, Robert Piro, Ian Horrocks, Dan Olteanu
Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems. AAAI (2014)
Nurzhan Bakibayev, Tomás Kociský, Dan Olteanu, Jakub Zavodny
Aggregation and Ordering in Factorised Databases. CoRR (2013)
Nurzhan Bakibayev, Tomás Kociský, Dan Olteanu, Jakub Zavodny
Aggregation and Ordering in Factorised Databases. Proc. VLDB Endow. 6 (14) (2013)
Dan Olteanu, Lampros Papageorgiou, Sebastiaan J. van Schaik
Πgora: An Integration System for Probabilistic Data. ICDE (2013)
Dan Olteanu, Divesh Srivastava
Front Matter. Proc. VLDB Endow. 6 (5) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dan Olteanu