Thorsten Papenbrock

VLDB J., March, 2023

Actix-Telepathy.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM SIGPLAN International Workshop on Reactive and Event-Based Languages and Systems, 2023

A Few Models to Rule Them All: Aggregating Machine Learning Models.

[BibT_eX]

[DOI]

Florian Siepe

Proceedings of the Lernen, 2023

DPQL: The Data Profiling Query Language.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2023

HYPEX: Hyperparameter Optimization in Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2023

2022

Efficient distributed discovery of bidirectional order dependencies.

[BibT_eX]

[DOI]

VLDB J., 2022

Data dependencies for query optimization: a survey.

[BibT_eX]

[DOI]

Jan Kossmann

VLDB J., 2022

TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Anomaly Detection in Time Series: A Comprehensive Evaluation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

DataGossip: A Data Exchange Extension for Distributed Machine Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Extending Database Technology, 2022

Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Distributed detection of sequential anomalies in univariate time series.

[BibT_eX]

[DOI]

Johannes Schneider

VLDB J., 2021

Front Matter.

[BibT_eX]

[DOI]

Hannes Mühleisen

Proc. VLDB Endow., 2021

Relational Header Discovery using Similarity Search in a Table Corpus.

[BibT_eX]

[DOI]

Hazar Harmouch

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Optimized Theta-Join Processing.

[BibT_eX]

[DOI]

Julian Weise

Proceedings of the Datenbanksysteme für Business, 2021

2020

Efficient Discovery of Matching Dependencies.

[BibT_eX]

[DOI]

Philipp Schirmer

Ioannis K. Koumarelas

ACM Trans. Database Syst., 2020

MDedup: Duplicate Detection with Matching Dependencies.

[BibT_eX]

[DOI]

Ioannis K. Koumarelas

Proc. VLDB Endow., 2020

Hitting Set Enumeration with Partial Information for Unique Column Combination Discovery.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

2019

DynFD: Functional Dependency Discovery in Dynamic Datasets.

[BibT_eX]

[DOI]

Daniel Neuschäfer-Rube

Proceedings of the Advances in Database Technology, 2019

Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

An Actor Database System for Akka.

[BibT_eX]

[DOI]

Frederic Schneider

Proceedings of the Datenbanksysteme für Business, 2019

Data Profiling - Effiziente Entdeckung Struktureller Abhängigkeiten.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2019

2018

Data Profiling

[BibT_eX]

[DOI]

Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01865-7, 2018

2017

Data profiling - efficient discovery of dependencies (Profilerstellung für Daten - Effiziente Entdeckung von Abhängigkeiten)

[BibT_eX]

[DOI]

PhD thesis, 2017

Detecting Inclusion Dependencies on Very Many Tables.

[BibT_eX]

[DOI]

Fabian Tschirschnitz

ACM Trans. Database Syst., 2017

Data Profiling - Effiziente Entdeckung Struktureller Abhängigkeiten.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2017, 2017

Data-driven Schema Normalization.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Extending Database Technology, 2017

A Hybrid Approach for Efficient Unique Column Combination Discovery.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2017

Fast Approximate Discovery of Inclusion Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2017

2016

Data Anamnesis: Admitting Raw Data into an Organization.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2016

A Hybrid Approach to Functional Dependency Discovery.

[BibT_eX]

[DOI]

Jorge-Arnulfo Quiané-Ruiz

Proceedings of the 2016 International Conference on Management of Data, 2016

RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Holistic Data Profiling: Simultaneous Discovery of Various Metadata.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Extending Database Technology, 2016

Approximate Discovery of Functional Dependencies for Large Datasets.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Progressive Duplicate Detection.

[BibT_eX]

[DOI]

Arvid Heise

IEEE Trans. Knowl. Data Eng., 2015

Divide & Conquer-based Inclusion Dependency Discovery.

[BibT_eX]

[DOI]

Jorge-Arnulfo Quiané-Ruiz

Sebastian Kruse

Proc. VLDB Endow., 2015

Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Data Profiling with Metanome.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Scaling Out the Discovery of Inclusion Dependencies.

[BibT_eX]

[DOI]

Sebastian Kruse

Proceedings of the Datenbanksysteme für Business, 2015

2014

Ein Datenbankkurs mit 6000 Teilnehmern - Erfahrungen auf der openHPI MOOC Plattform.

[BibT_eX]

[DOI]

Maximilian Jenders