Ziawasch Abedjan

According to our database, Ziawasch Abedjan authored at least 77 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

How Green is AutoML for Tabular Data?

Felix Neutatz, Marius Lindauer, Ziawasch Abedjan

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

MaTElDa: Multi-Table Error Detection.

Fatemeh Ahmadi, Marc Speckmann, Malte F. Kuhlmann, Ziawasch Abedjan

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

AutoML in heavily constrained applications.

Felix Neutatz, Marius Lindauer, Ziawasch Abedjan

VLDB J., July, 2024

Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism.

Fatemeh Ahmadi, Yusuf Mandirali, Ziawasch Abedjan

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Guiding Catalogue Enrichment with User Queries.

Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Data Augmentation for Supervised Code Translation Learning.

Binger Chen, Jacek Golebiowski, Ziawasch Abedjan

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Towards Data Augmentation for Supervised Code Translation.

Binger Chen, Jacek Golebiowski, Ziawasch Abedjan

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Learning Action Embeddings for Off-Policy Evaluation.

Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan, Artur Bekasov

Proceedings of the Advances in Information Retrieval, 2024

2023

Blend: A Unified Data Discovery System.

Mahdi Esmailoghli, Christoph Schnell, Renée J. Miller, Ziawasch Abedjan

CoRR, 2023

Demonstrating MATE and COCOA for Data Discovery.

Jannis Becktepe, Mahdi Esmailoghli, Maximilian Koch, Ziawasch Abedjan

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Duetcs: Code Style Transfer through Generation and Retrieval.

Binger Chen, Ziawasch Abedjan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

NFDI4DS Infrastructure and Services.

Sonja Schimmler, Bianca Wentzel, Arnim Bleier, Stefan Dietze, Saurav Karmakar, Peter Mutschke, Angelie Kraft, Tilahun Abedissa Taffa, Ricardo Usbeck, Zeyd Boukhers, Sören Auer, Leyla Jael Castro, Marcel R. Ackermann, Thomas Neumuth, Daniel Schneider, Ziawasch Abedjan, Atif Latif, Fidan Limani, Raia Abu Ahmad, Georg Rehm, Sima Attar Khorasani, Matthias Lieber

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

Duplicate Table Discovery with Xash.

Maximilian Koch, Mahdi Esmailoghli, Sören Auer, Ziawasch Abedjan

Proceedings of the Datenbanksysteme für Business, 2023

2022

MATE: Multi-Attribute Table Extraction.

Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan

Proc. VLDB Endow., 2022

Enabling data-centric AI through data quality management and data literacy.

Ziawasch Abedjan

it Inf. Technol., 2022

Data Cleaning and AutoML: Would an Optimizer Choose to Clean?

Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan

Datenbank-Spektrum, 2022

Search Filter Ranking with Language-Aware Label Embeddings.

Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Measuring Fairness of Rankings under Noisy Sensitive Information.

Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Automated Feature Engineering for Algorithmic Fairness.

Ricardo Salazar, Felix Neutatz, Ziawasch Abedjan

Proc. VLDB Endow., 2021

Big Data - Ergebnisse und Herausforderungen im Jahr 2020.

Ziawasch Abedjan

LOG IN, 2021

From Cleaning before ML to Cleaning for ML.

Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu

IEEE Data Eng. Bull., 2021

Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study.

Felix Neutatz, Felix Biessmann, Ziawasch Abedjan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Interactive Cross-language Code Retrieval with Auto-Encoders.

Binger Chen, Ziawasch Abedjan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

RPT: Effective and Efficient Retrieval of Program Translations from Big Code.

Binger Chen, Ziawasch Abedjan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

COCOA: COrrelation COefficient-Aware Data Augmentation.

Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan

Proceedings of the 24th International Conference on Extending Database Technology, 2021

Semi-Supervised Data Cleaning with Raha and Baran.

Mohammad Mahdavi, Ziawasch Abedjan

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Combining Programming-by-Example with Transformation Discovery from large Databases.

Aslihan Özmen, Mahdi Esmailoghli, Ziawasch Abedjan

Proceedings of the Datenbanksysteme für Business, 2021

2020

Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning.

Mohammad Mahdavi, Ziawasch Abedjan

Proc. VLDB Endow., 2020

Anatomy of Metadata for Data Curation.

Larysa Visengeriyeva, Ziawasch Abedjan

ACM J. Data Inf. Qual., 2020

Algorithms for Big Data.

Ulrich Meyer, Ziawasch Abedjan

it Inf. Technol., 2020

Data Science für alle: Grundlagen der Datenprogrammierung.

Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen

Inform. Spektrum, 2020

Optimizing Machine Learning Workloads in Collaborative Environments.

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

CAFE: Constraint-Aware Feature Extraction from Large Databases.

Mahdi Esmailoghli, Ziawasch Abedjan

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Data Profiling.

Ziawasch Abedjan

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Particulate Matter Matters - The Data Science Challenge @ BTW 2019.

Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava

Datenbank-Spektrum, 2019

ED2: Two-stage Active Learning for Error Detection - Technical Report.

Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan

CoRR, 2019

REDS: Estimating the Performance of Error Detection Strategies Based on Dirtiness Profiles.

Mohammad Mahdavi, Ziawasch Abedjan

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Raha: A Configuration-Free Error Detection System.

Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

Proceedings of the 2019 International Conference on Management of Data, 2019

Towards Automated Data Cleaning Workflows.

Mohammad Mahdavi, Felix Neutatz, Larysa Visengeriyeva, Ziawasch Abedjan

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Unsupervised String Transformation Learning for Entity Consolidation.

Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

CLRL: Feature Engineering for Cross-Language Record Linkage.

Öykü Özlem Çakal, Mohammad Mahdavi, Ziawasch Abedjan

Proceedings of the Advances in Database Technology, 2019

ED2: A Case for Active Learning in Error Detection.

Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan

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

Explanation of Air Pollution Using External Data Sources.

Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

Proceedings of the Datenbanksysteme für Business, 2019

Data Science in Healthcare: Benefits, Challenges and Opportunities.

Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts

Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

2018

Data Profiling

Ziawasch Abedjan, Lukasz Golab, Felix Naumann, Thorsten Papenbrock

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

Data Management Systems Research at TU Berlin.

Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto

SIGMOD Rec., 2018

Metadata-driven error detection.

Larysa Visengeriyeva, Ziawasch Abedjan

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Building Data Civilizer Pipelines with an Advanced Workflow Engine.

Essam Mansour, Dong Deng, Raul Castro Fernandez, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Aurum: A Data Discovery System.

Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Entity Consolidation: The Golden Record Problem.

Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

CoRR, 2017

A Demo of the Data Civilizer System.

Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Data Profiling: A Tutorial.

Ziawasch Abedjan, Lukasz Golab, Felix Naumann

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

An Introduction to Data Profiling.

Ziawasch Abedjan

Proceedings of the Business Intelligence and Big Data - 7th European Summer School, 2017

The Data Civilizer System.

Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

Detecting Data Errors: Where are we and what needs to be done?

Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang

Proc. VLDB Endow., 2016

Towards large-scale data discovery: position paper.

Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web, 2016

DataXFormer: A robust transformation discovery system.

Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Data profiling.

Ziawasch Abedjan, Lukasz Golab, Felix Naumann

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Profiling relational data: a survey.

Ziawasch Abedjan, Lukasz Golab, Felix Naumann

VLDB J., 2015

Temporal Rules Discovery for Web Data Cleaning.

Ziawasch Abedjan, Cuneyt Gurcan Akcora, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker

Proc. VLDB Endow., 2015

DataXFormer: An Interactive Data Transformation Tool.

John Morcos, Ziawasch Abedjan, Ihab Francis Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Dataxformer: Leveraging the Web for Semantic Transformations.

Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

Improving RDF data with data mining.

Ziawasch Abedjan

PhD thesis, 2014

Assigning global relevance scores to DBpedia facts.

Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Detecting unique column combinations on dynamic data.

Ziawasch Abedjan, Jorge-Arnulfo Quiané-Ruiz, Felix Naumann

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Profiling and mining RDF data with ProLOD++.

Ziawasch Abedjan, Toni Grütze, Anja Jentzsch, Felix Naumann

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Amending RDF Entities with New Facts.

Ziawasch Abedjan, Felix Naumann

Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 11th Extended Semantic Web Conference (ESWC 2014), 2014

Improving RDF Data with Data Mining.

Ziawasch Abedjan

Proceedings of the 8th Joint Workshop of the German Research Training Groups in Computer Science, 2014

DFD: Efficient Functional Dependency Discovery.

Ziawasch Abedjan, Patrick Schulze, Felix Naumann

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Scalable Discovery of Unique Column Combinations.

Arvid Heise, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan, Anja Jentzsch, Felix Naumann

Proc. VLDB Endow., 2013

Improving RDF Data Through Association Rule Mining.

Ziawasch Abedjan, Felix Naumann

Datenbank-Spektrum, 2013

Synonym Analysis for Predicate Expansion.

Ziawasch Abedjan, Felix Naumann

Proceedings of the Semantic Web: Semantics and Big Data, 10th International Conference, 2013

2012

Discovering conditional inclusion dependencies.

Jana Bauckmann, Ziawasch Abedjan, Ulf Leser, Heiko Müller, Felix Naumann

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Reconciling ontologies and the web of data.

Ziawasch Abedjan, Johannes Lorey, Felix Naumann

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

SPRINT: ranking search results by paths.

Christoph Böhm, Eyk Kny, Benjamin Emde, Ziawasch Abedjan, Felix Naumann

Proceedings of the EDBT 2011, 2011

Advancing the discovery of unique column combinations.

Ziawasch Abedjan, Felix Naumann

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Profiling linked open data with ProLOD.

Christoph Böhm, Felix Naumann, Ziawasch Abedjan, Dandy Fenz, Toni Grütze, Daniel Hefenbrock, Matthias Pohl, David Sonnabend

Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010