Profiling linked open data with ProLOD. - Christoph Böhm 001; Felix Naumann; Ziawasch Abedjan; Dandy Fenz; Toni Grütze; Daniel Hefenbrock; Matthias Pohl; David Sonnabend (ICDE Workshops, 2010)

Advancing the discovery of unique column combinations. - Ziawasch Abedjan; Felix Naumann (CIKM, 2011)

SPRINT: ranking search results by paths. - Christoph Böhm 001; Eyk Kny; Benjamin Emde; Ziawasch Abedjan; Felix Naumann (EDBT, 2011)

Reconciling ontologies and the web of data. - Ziawasch Abedjan; Johannes Lorey; Felix Naumann (CIKM, 2012)

Discovering conditional inclusion dependencies. - Jana Bauckmann; Ziawasch Abedjan; Ulf Leser; Heiko Müller 001; Felix Naumann (CIKM, 2012)

Synonym Analysis for Predicate Expansion. - Ziawasch Abedjan; Felix Naumann (ESWC, 2013)

Improving RDF Data Through Association Rule Mining. - Ziawasch Abedjan; Felix Naumann (Datenbank-Spektrum, 2013)

Scalable Discovery of Unique Column Combinations. - Arvid Heise; Jorge-Arnulfo Quiané-Ruiz; Ziawasch Abedjan; Anja Jentzsch; Felix Naumann (Proc. VLDB Endow., 2013)

DFD: Efficient Functional Dependency Discovery. - Ziawasch Abedjan; Patrick Schulze; Felix Naumann (CIKM, 2014)

Improving RDF Data with Data Mining. - Ziawasch Abedjan (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Amending RDF Entities with New Facts. - Ziawasch Abedjan; Felix Naumann (KNOW@LOD, 2014)

Profiling and mining RDF data with ProLOD++. - Ziawasch Abedjan; Toni Grütze; Anja Jentzsch; Felix Naumann (ICDE, 2014)

Detecting unique column combinations on dynamic data. - Ziawasch Abedjan; Jorge-Arnulfo Quiané-Ruiz; Felix Naumann (ICDE, 2014)

Assigning global relevance scores to DBpedia facts. - Philipp Langer; Patrick Schulze; Stefan George; Matthias Kohnen; Tobias Metzke; Ziawasch Abedjan; Gjergji Kasneci (ICDE Workshops, 2014)

Improving RDF data with data mining. - Ziawasch Abedjan (2014)

Dataxformer: Leveraging the Web for Semantic Transformations. - Ziawasch Abedjan; John Morcos; Michael N. Gubanov; Ihab F. Ilyas; Michael Stonebraker; Paolo Papotti; Mourad Ouzzani (CIDR, 2015)

DataXFormer: An Interactive Data Transformation Tool. - John Morcos; Ziawasch Abedjan; Ihab Francis Ilyas; Mourad Ouzzani; Paolo Papotti; Michael Stonebraker (SIGMOD Conference, 2015)

Temporal Rules Discovery for Web Data Cleaning. - Ziawasch Abedjan; Cuneyt Gurcan Akcora; Mourad Ouzzani; Paolo Papotti; Michael Stonebraker (Proc. VLDB Endow., 2015)

Profiling relational data: a survey. - Ziawasch Abedjan; Lukasz Golab; Felix Naumann (VLDB J., 2015)

Data profiling. - Ziawasch Abedjan; Lukasz Golab; Felix Naumann (ICDE, 2016)

DataXFormer: A robust transformation discovery system. - Ziawasch Abedjan; John Morcos; Ihab F. Ilyas; Mourad Ouzzani; Paolo Papotti; Michael Stonebraker (ICDE, 2016)

Towards large-scale data discovery: position paper. - Raul Castro Fernandez; Ziawasch Abedjan; Samuel Madden 001; Michael Stonebraker (ExploreDB@SIGMOD/PODS, 2016)

Detecting Data Errors: Where are we and what needs to be done? - Ziawasch Abedjan; Xu Chu; Dong Deng 001; Raul Castro Fernandez; Ihab F. Ilyas; Mourad Ouzzani; Paolo Papotti; Michael Stonebraker; Nan Tang 001 (Proc. VLDB Endow., 2016)

The Data Civilizer System. - Dong Deng 001; Raul Castro Fernandez; Ziawasch Abedjan; Sibo Wang 001; Michael Stonebraker; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Nan Tang 001 (CIDR, 2017)

An Introduction to Data Profiling. - Ziawasch Abedjan (eBISS, 2017)

Data Profiling: A Tutorial. - Ziawasch Abedjan; Lukasz Golab; Felix Naumann (SIGMOD Conference, 2017)

A Demo of the Data Civilizer System. - Raul Castro Fernandez; Dong Deng 001; Essam Mansour 001; Abdulhakim Ali Qahtan; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (SIGMOD Conference, 2017)

Entity Consolidation: The Golden Record Problem. - Dong Deng 001; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (CoRR, 2017)

Aurum: A Data Discovery System. - Raul Castro Fernandez; Ziawasch Abedjan; Famien Koko; Gina Yuan; Samuel Madden 001; Michael Stonebraker (ICDE, 2018)

Building Data Civilizer Pipelines with an Advanced Workflow Engine. - Essam Mansour 001; Dong Deng 001; Raul Castro Fernandez; Abdulhakim Ali Qahtan; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (ICDE, 2018)

Metadata-driven error detection. - Larysa Visengeriyeva; Ziawasch Abedjan (SSDBM, 2018)

Data Management Systems Research at TU Berlin. - Ziawasch Abedjan; Sebastian B. Simonsen; Volker Markl; Tilmann Rabl; Juan Soto 001 (SIGMOD Rec., 2018)

Data Profiling - Ziawasch Abedjan; Lukasz Golab; Felix Naumann; Thorsten Papenbrock (Morgan & Claypool Publishers, 2018)

Data Science in Healthcare: Benefits, Challenges and Opportunities. - Ziawasch Abedjan; Nozha Boujemaa; Stuart Campbell 002; Patricia Casla; Supriyo Chatterjea; Sergio Consoli; Cristóbal Costa Soria; Paul Czech; Marija Despenic; Chiara Garattini; Dirk Hamelinck; Adrienne Heinrich; et al. (Data Science for Healthcare, 2019)

Explanation of Air Pollution Using External Data Sources. - Mahdi Esmailoghli; Sergey Redyuk; Ricardo Martinez; Ziawasch Abedjan; Tilmann Rabl; Volker Markl (BTW (Workshops), 2019)

ED2: A Case for Active Learning in Error Detection. - Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan (CIKM, 2019)

CLRL: Feature Engineering for Cross-Language Record Linkage. - Öykü Özlem Çakal; Mohammad Mahdavi; Ziawasch Abedjan (EDBT, 2019)

Unsupervised String Transformation Learning for Entity Consolidation. - Dong Deng 001; Wenbo Tao; Ziawasch Abedjan; Ahmed K. Elmagarmid; Ihab F. Ilyas; Guoliang Li 001; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (ICDE, 2019)

Towards Automated Data Cleaning Workflows. - Mohammad Mahdavi; Felix Neutatz; Larysa Visengeriyeva; Ziawasch Abedjan (LWDA, 2019)

Raha: A Configuration-Free Error Detection System. - Mohammad Mahdavi; Ziawasch Abedjan; Raul Castro Fernandez; Samuel Madden 001; Mourad Ouzzani; Michael Stonebraker; Nan Tang 001 (SIGMOD Conference, 2019)

REDS: Estimating the Performance of Error Detection Strategies Based on Dirtiness Profiles. - Mohammad Mahdavi; Ziawasch Abedjan (SSDBM, 2019)

ED2: Two-stage Active Learning for Error Detection - Technical Report. - Felix Neutatz; Mohammad Mahdavi; Ziawasch Abedjan (CoRR, 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; et al. (Datenbank-Spektrum, 2019)

Data Profiling. - Ziawasch Abedjan (Encyclopedia of Big Data Technologies, 2019)

CAFE: Constraint-Aware Feature Extraction from Large Databases. - Mahdi Esmailoghli; Ziawasch Abedjan (CIDR, 2020)

Optimizing Machine Learning Workloads in Collaborative Environments. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

Data Science für alle: Grundlagen der Datenprogrammierung. - Ziawasch Abedjan; Hagen Anuth; Mahdi Esmailoghli; Mohammad Mahdavi; Felix Neutatz; Binger Chen (Inform. Spektrum, 2020)

Algorithms for Big Data. - Ulrich Meyer 001; Ziawasch Abedjan (it Inf. Technol., 2020)

Anatomy of Metadata for Data Curation. - Larysa Visengeriyeva; Ziawasch Abedjan (ACM J. Data Inf. Qual., 2020)

Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning. - Mohammad Mahdavi; Ziawasch Abedjan (Proc. VLDB Endow., 2020)

Combining Programming-by-Example with Transformation Discovery from large Databases. - Aslihan Özmen; Mahdi Esmailoghli; Ziawasch Abedjan (BTW, 2021)

Semi-Supervised Data Cleaning with Raha and Baran. - Mohammad Mahdavi; Ziawasch Abedjan (CIDR, 2021)

COCOA: COrrelation COefficient-Aware Data Augmentation. - Mahdi Esmailoghli; Jorge-Arnulfo Quiané-Ruiz; Ziawasch Abedjan (EDBT, 2021)

RPT: Effective and Efficient Retrieval of Program Translations from Big Code. - Binger Chen; Ziawasch Abedjan (ICSE (Companion Volume), 2021)

Interactive Cross-language Code Retrieval with Auto-Encoders. - Binger Chen; Ziawasch Abedjan (ASE, 2021)

Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. - Felix Neutatz; Felix Biessmann; Ziawasch Abedjan (SIGMOD Conference, 2021)

From Cleaning before ML to Cleaning for ML. - Felix Neutatz; Binger Chen; Ziawasch Abedjan; Eugene Wu 002 (IEEE Data Eng. Bull., 2021)

Big Data - Ergebnisse und Herausforderungen im Jahr 2020. - Ziawasch Abedjan (LOG IN, 2021)

Automated Feature Engineering for Algorithmic Fairness. - Ricardo Salazar; Felix Neutatz; Ziawasch Abedjan (Proc. VLDB Endow., 2021)

Measuring Fairness of Rankings under Noisy Sensitive Information. - Azin Ghazimatin; Matthäus Kleindessner; Chris Russell 001; Ziawasch Abedjan; Jacek Golebiowski (FAccT, 2022)

Search Filter Ranking with Language-Aware Label Embeddings. - Jacek Golebiowski; Felice Antonio Merra; Ziawasch Abedjan; Felix Biessmann (WWW (Companion Volume), 2022)

Data Cleaning and AutoML: Would an Optimizer Choose to Clean? - Felix Neutatz; Binger Chen; Yazan Alkhatib; Jingwen Ye; Ziawasch Abedjan (Datenbank-Spektrum, 2022)

Enabling data-centric AI through data quality management and data literacy. - Ziawasch Abedjan (it Inf. Technol., 2022)

MATE: Multi-Attribute Table Extraction. - Mahdi Esmailoghli; Jorge-Arnulfo Quiané-Ruiz; Ziawasch Abedjan (Proc. VLDB Endow., 2022)

Duplicate Table Discovery with Xash. - Maximilian Koch; Mahdi Esmailoghli; Sören Auer; Ziawasch Abedjan (BTW, 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; et al. (GI-Jahrestagung, 2023)

Duetcs: Code Style Transfer through Generation and Retrieval. - Binger Chen; Ziawasch Abedjan (ICSE, 2023)

Demonstrating MATE and COCOA for Data Discovery. - Jannis Becktepe; Mahdi Esmailoghli; Maximilian Koch; Ziawasch Abedjan (SIGMOD Conference Companion, 2023)

Learning Action Embeddings for Off-Policy Evaluation. - Matej Cief; Jacek Golebiowski; Philipp Schmidt 002; Ziawasch Abedjan; Artur Bekasov (ECIR (1), 2024)

Towards Data Augmentation for Supervised Code Translation. - Binger Chen; Jacek Golebiowski; Ziawasch Abedjan (ICSE Companion, 2024)

Data Augmentation for Supervised Code Translation Learning. - Binger Chen; Jacek Golebiowski; Ziawasch Abedjan (MSR, 2024)

Guiding Catalogue Enrichment with User Queries. - Yupei Du; Jacek Golebiowski; Philipp Schmidt 002; Ziawasch Abedjan (ECML/PKDD (9), 2024)

Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism. - Fatemeh Ahmadi 002; Yusuf Mandirali; Ziawasch Abedjan (VLDB Workshops, 2024)

AutoML in heavily constrained applications. - Felix Neutatz; Marius Lindauer; Ziawasch Abedjan (VLDB J., 2024)

Identifying Semantic Components for PBE-based Transformation Discovery. - Dakai Men; Binger Chen; Ziawasch Abedjan (BTW, 2025)

MaTElDa: Multi-Table Error Detection. - Fatemeh Ahmadi 002; Marc Speckmann; Malte F. Kuhlmann; Ziawasch Abedjan (EDBT, 2025)

How Green is AutoML for Tabular Data? - Felix Neutatz; Marius Lindauer; Ziawasch Abedjan (EDBT, 2025)

BLEND: A Unified Data Discovery System. - Mahdi Esmailoghli; Christoph Schnell; Renée J. Miller; Ziawasch Abedjan (ICDE, 2025)