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Ziawasch Abedjan

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affiliation: Leibniz Universität Hannover, Germany
affiliation (former): TU Berlin, Germany

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2020 – today

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2025
[c53]
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Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
How Green is AutoML for Tabular Data? EDBT 2025: 350-363
[c52]
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Fatemeh Ahmadi, Marc Speckmann, Malte F. Kuhlmann, Ziawasch Abedjan:
MaTElDa: Multi-Table Error Detection. EDBT 2025: 364-376
2024
[j18]
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Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
AutoML in heavily constrained applications. VLDB J. 33(4): 957-979 (2024)
[c51]
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Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan, Artur Bekasov:
Learning Action Embeddings for Off-Policy Evaluation. ECIR (1) 2024: 108-122
[c50]
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Binger Chen, Jacek Golebiowski, Ziawasch Abedjan:
Towards Data Augmentation for Supervised Code Translation. ICSE Companion 2024: 352-353
[c49]
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Binger Chen, Jacek Golebiowski, Ziawasch Abedjan:
Data Augmentation for Supervised Code Translation Learning. MSR 2024: 444-456
[c48]
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Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan:
Guiding Catalogue Enrichment with User Queries. ECML/PKDD (9) 2024: 21-37
[c47]
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Fatemeh Ahmadi, Yusuf Mandirali, Ziawasch Abedjan:
Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism. VLDB Workshops 2024
[i8]
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  - journals/corr/abs-2406-07098
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Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan:
Guiding Catalogue Enrichment with User Queries. CoRR abs/2406.07098 (2024)
2023
[c46]
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Maximilian Koch, Mahdi Esmailoghli, Sören Auer, Ziawasch Abedjan:
Duplicate Table Discovery with Xash. BTW 2023: 367-390
[c45]
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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:
NFDI4DS Infrastructure and Services. GI-Jahrestagung 2023: 919-924
[c44]
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Binger Chen, Ziawasch Abedjan:
Duetcs: Code Style Transfer through Generation and Retrieval. ICSE 2023: 2362-2373
[c43]
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Jannis Becktepe, Mahdi Esmailoghli, Maximilian Koch, Ziawasch Abedjan:
Demonstrating MATE and COCOA for Data Discovery. SIGMOD Conference Companion 2023: 119-122
[i7]
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Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan, Artur Bekasov:
Learning Action Embeddings for Off-Policy Evaluation. CoRR abs/2305.03954 (2023)
[i6]
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  - journals/corr/abs-2306-16913
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Felix Neutatz, Marius Lindauer, Ziawasch Abedjan:
AutoML in Heavily Constrained Applications. CoRR abs/2306.16913 (2023)
[i5]
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  - journals/corr/abs-2310-02656
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Mahdi Esmailoghli, Christoph Schnell, Renée J. Miller, Ziawasch Abedjan:
Blend: A Unified Data Discovery System. CoRR abs/2310.02656 (2023)
2022
[j17]
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Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan:
Data Cleaning and AutoML: Would an Optimizer Choose to Clean? Datenbank-Spektrum 22(2): 121-130 (2022)
[j16]
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Ziawasch Abedjan:
Enabling data-centric AI through data quality management and data literacy. it Inf. Technol. 64(1-2): 67-70 (2022)
[j15]
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Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan:
MATE: Multi-Attribute Table Extraction. Proc. VLDB Endow. 15(8): 1684-1696 (2022)
[c42]
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Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski:
Measuring Fairness of Rankings under Noisy Sensitive Information. FAccT 2022: 2263-2279
[c41]
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Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann:
Search Filter Ranking with Language-Aware Label Embeddings. WWW (Companion Volume) 2022: 121-125
2021
[j14]
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Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu:
From Cleaning before ML to Cleaning for ML. IEEE Data Eng. Bull. 44(1): 24-41 (2021)
[j13]
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Ziawasch Abedjan:
Big Data - Ergebnisse und Herausforderungen im Jahr 2020. LOG IN 41(1): 13-17 (2021)
[j12]
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Ricardo Salazar, Felix Neutatz, Ziawasch Abedjan:
Automated Feature Engineering for Algorithmic Fairness. Proc. VLDB Endow. 14(9): 1694-1702 (2021)
[c40]
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Aslihan Özmen, Mahdi Esmailoghli, Ziawasch Abedjan:
Combining Programming-by-Example with Transformation Discovery from large Databases. BTW 2021: 313-324
[c39]
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Mohammad Mahdavi, Ziawasch Abedjan:
Semi-Supervised Data Cleaning with Raha and Baran. CIDR 2021
[c38]
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Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan:
COCOA: COrrelation COefficient-Aware Data Augmentation. EDBT 2021: 331-336
[c37]
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Binger Chen, Ziawasch Abedjan:
RPT: Effective and Efficient Retrieval of Program Translations from Big Code. ICSE (Companion Volume) 2021: 252-253
[c36]
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Binger Chen, Ziawasch Abedjan:
Interactive Cross-language Code Retrieval with Auto-Encoders. ASE 2021: 167-178
[c35]
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Felix Neutatz, Felix Biessmann, Ziawasch Abedjan:
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. SIGMOD Conference 2021: 1345-1358
[i4]
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  - journals/corr/abs-2103-12797
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Binger Chen, Ziawasch Abedjan:
RPT: Effective and Efficient Retrieval of Program Translations from Big Code. CoRR abs/2103.12797 (2021)
[i3]
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  - journals/corr/abs-2110-00318
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Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan:
MATE: Multi-Attribute Table Extraction. CoRR abs/2110.00318 (2021)
2020
[j11]
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Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen:
Data Science für alle: Grundlagen der Datenprogrammierung. Inform. Spektrum 43(2): 129-136 (2020)
[j10]
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Ulrich Meyer, Ziawasch Abedjan:
Algorithms for Big Data. it Inf. Technol. 62(3-4): 117-118 (2020)
[j9]
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Larysa Visengeriyeva, Ziawasch Abedjan:
Anatomy of Metadata for Data Curation. ACM J. Data Inf. Qual. 12(3): 16:1-16:30 (2020)
[j8]
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Mohammad Mahdavi, Ziawasch Abedjan:
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning. Proc. VLDB Endow. 13(11): 1948-1961 (2020)
[c34]
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Mahdi Esmailoghli, Ziawasch Abedjan:
CAFE: Constraint-Aware Feature Extraction from Large Databases. CIDR 2020
[c33]
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  - conf/sigmod/DerakhshanMARM20
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Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716
[e1]
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Ziawasch Abedjan, Katja Hose:
Proceedings of the VLDB 2020 PhD Workshop co-located with the 46th International Conference on Very Large Databases (VLDB 2020), ONLINE, August 31 - September 4, 2020. CEUR Workshop Proceedings 2652, CEUR-WS.org 2020 [contents]

2010 – 2019

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2019
[j7]
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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:
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19(3): 165-182 (2019)
[c32]
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Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Explanation of Air Pollution Using External Data Sources. BTW (Workshops) 2019: 297-300
[c31]
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Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: A Case for Active Learning in Error Detection. CIKM 2019: 2249-2252
[c30]
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Öykü Özlem Çakal, Mohammad Mahdavi, Ziawasch Abedjan:
CLRL: Feature Engineering for Cross-Language Record Linkage. EDBT 2019: 678-681
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Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Unsupervised String Transformation Learning for Entity Consolidation. ICDE 2019: 196-207
[c28]
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Mohammad Mahdavi, Felix Neutatz, Larysa Visengeriyeva, Ziawasch Abedjan:
Towards Automated Data Cleaning Workflows. LWDA 2019: 10-19
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Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Raha: A Configuration-Free Error Detection System. SIGMOD Conference 2019: 865-882
[c26]
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Mohammad Mahdavi, Ziawasch Abedjan:
REDS: Estimating the Performance of Error Detection Strategies Based on Dirtiness Profiles. SSDBM 2019: 193-196
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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:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38
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Ziawasch Abedjan:
Data Profiling. Encyclopedia of Big Data Technologies 2019
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  - journals/corr/abs-1908-06309
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Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan:
ED2: Two-stage Active Learning for Error Detection - Technical Report. CoRR abs/1908.06309 (2019)
2018
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Ziawasch Abedjan, Lukasz Golab, Felix Naumann, Thorsten Papenbrock:
Data Profiling. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00737-8
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Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto:
Data Management Systems Research at TU Berlin. SIGMOD Rec. 47(4): 23-28 (2018)
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Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker:
Aurum: A Data Discovery System. ICDE 2018: 1001-1012
[c24]
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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:
Building Data Civilizer Pipelines with an Advanced Workflow Engine. ICDE 2018: 1593-1596
[c23]
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Larysa Visengeriyeva, Ziawasch Abedjan:
Metadata-driven error detection. SSDBM 2018: 1:1-1:12
2017
[c22]
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Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang:
The Data Civilizer System. CIDR 2017
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Ziawasch Abedjan:
An Introduction to Data Profiling. eBISS 2017: 1-20
[c20]
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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:
A Demo of the Data Civilizer System. SIGMOD Conference 2017: 1639-1642
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Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Data Profiling: A Tutorial. SIGMOD Conference 2017: 1747-1751
[i1]
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Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Entity Consolidation: The Golden Record Problem. CoRR abs/1709.10436 (2017)
2016
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Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang:
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9(12): 993-1004 (2016)
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Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: A robust transformation discovery system. ICDE 2016: 1134-1145
[c17]
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Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Data profiling. ICDE 2016: 1432-1435
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Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker:
Towards large-scale data discovery: position paper. ExploreDB@SIGMOD/PODS 2016: 3-5
2015
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Ziawasch Abedjan, Cuneyt Gurcan Akcora, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
Temporal Rules Discovery for Web Data Cleaning. Proc. VLDB Endow. 9(4): 336-347 (2015)
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Ziawasch Abedjan, Lukasz Golab, Felix Naumann:
Profiling relational data: a survey. VLDB J. 24(4): 557-581 (2015)
[c15]
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Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani:
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR 2015
[c14]
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John Morcos, Ziawasch Abedjan, Ihab Francis Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker:
DataXFormer: An Interactive Data Transformation Tool. SIGMOD Conference 2015: 883-888
2014
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Ziawasch Abedjan:
Improving RDF data with data mining. University of Potsdam, 2014
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Ziawasch Abedjan, Patrick Schulze, Felix Naumann:
DFD: Efficient Functional Dependency Discovery. CIKM 2014: 949-958
[c12]
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Ziawasch Abedjan:
Improving RDF Data with Data Mining. Joint Workshop of the German Research Training Groups in Computer Science 2014: 221
[c11]
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Ziawasch Abedjan, Felix Naumann:
Amending RDF Entities with New Facts. KNOW@LOD 2014
[c10]
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Ziawasch Abedjan, Felix Naumann:
Amending RDF Entities with New Facts. ESWC (Satellite Events) 2014: 131-143
[c9]
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Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci:
Assigning global relevance scores to DBpedia facts. ICDE Workshops 2014: 248-253
[c8]
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Ziawasch Abedjan, Jorge-Arnulfo Quiané-Ruiz, Felix Naumann:
Detecting unique column combinations on dynamic data. ICDE 2014: 1036-1047
[c7]
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Ziawasch Abedjan, Toni Grütze, Anja Jentzsch, Felix Naumann:
Profiling and mining RDF data with ProLOD++. ICDE 2014: 1198-1201
2013
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Ziawasch Abedjan, Felix Naumann:
Improving RDF Data Through Association Rule Mining. Datenbank-Spektrum 13(2): 111-120 (2013)
[j1]
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  - journals/pvldb/HeiseQAJN13
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Arvid Heise, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan, Anja Jentzsch, Felix Naumann:
Scalable Discovery of Unique Column Combinations. Proc. VLDB Endow. 7(4): 301-312 (2013)
[c6]
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Ziawasch Abedjan, Felix Naumann:
Synonym Analysis for Predicate Expansion. ESWC 2013: 140-154
2012
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  - conf/cikm/AbedjanLN12
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Ziawasch Abedjan, Johannes Lorey, Felix Naumann:
Reconciling ontologies and the web of data. CIKM 2012: 1532-1536
[c4]
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  - conf/cikm/BauckmannALMN12
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Jana Bauckmann, Ziawasch Abedjan, Ulf Leser, Heiko Müller, Felix Naumann:
Discovering conditional inclusion dependencies. CIKM 2012: 2094-2098
2011
[c3]
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Ziawasch Abedjan, Felix Naumann:
Advancing the discovery of unique column combinations. CIKM 2011: 1565-1570
[c2]
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  - conf/edbt/BohmKEAN11
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Christoph Böhm, Eyk Kny, Benjamin Emde, Ziawasch Abedjan, Felix Naumann:
SPRINT: ranking search results by paths. EDBT 2011: 546-549
2010
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Christoph Böhm, Felix Naumann, Ziawasch Abedjan, Dandy Fenz, Toni Grütze, Daniel Hefenbrock, Matthias Pohl, David Sonnabend:
Profiling linked open data with ProLOD. ICDE Workshops 2010: 175-178

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