| Functional dependency discovery: An experimental evaluation of seven algorithms T Papenbrock, J Ehrlich, J Marten, T Neubert, JP Rudolph, M Schönberg, ... Proceedings of the VLDB Endowment 8 (10), 1082-1093, 2015 | 190 | 2015 |
| Progressive duplicate detection T Papenbrock, A Heise, F Naumann IEEE Transactions on knowledge and data engineering 27 (5), 1316-1329, 2014 | 132 | 2014 |
| A hybrid approach to functional dependency discovery T Papenbrock, F Naumann Proceedings of the 2016 International Conference on Management of Data, 821-833, 2016 | 122 | 2016 |
| Data profiling with metanome T Papenbrock, T Bergmann, M Finke, J Zwiener, F Naumann Proceedings of the VLDB Endowment 8 (12), 1860-1863, 2015 | 106 | 2015 |
| Data profiling Z Abedjan, L Golab, F Naumann, T Papenbrock Synthesis Lectures on Data Management 10 (4), 1-154, 2018 | 66 | 2018 |
| Divide & conquer-based inclusion dependency discovery T Papenbrock, S Kruse, JA Quiané-Ruiz, F Naumann Proceedings of the VLDB Endowment 8 (7), 774-785, 2015 | 65 | 2015 |
| Data-driven Schema Normalization. T Papenbrock, F Naumann EDBT 17, 342-353, 2017 | 40 | 2017 |
| A hybrid approach for efficient unique column combination discovery T Papenbrock, F Naumann Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017 | 34 | 2017 |
| DynFD: Functional Dependency Discovery in Dynamic Datasets. P Schirmer, T Papenbrock, S Kruse, F Naumann, D Hempfing, T Mayer, ... EDBT, 253-264, 2019 | 24 | 2019 |
| Detecting inclusion dependencies on very many tables F Tschirschnitz, T Papenbrock, F Naumann ACM Transactions on Database Systems (TODS) 42 (3), 1-29, 2017 | 24 | 2017 |
| Fast approximate discovery of inclusion dependencies S Kruse, T Papenbrock, C Dullweber, M Finke, M Hegner, M Zabel, ... Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017 | 24 | 2017 |
| Approximate discovery of functional dependencies for large datasets T Bleifuß, S Bülow, J Frohnhofen, J Risch, G Wiese, S Kruse, ... Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 22 | 2016 |
| Data Anamnesis: Admitting Raw Data into an Organization. S Kruse, T Papenbrock, H Harmouch, F Naumann IEEE Data Eng. Bull. 39 (2), 8-20, 2016 | 19 | 2016 |
| Scaling out the discovery of inclusion dependencies S Kruse, T Papenbrock, F Naumann Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015 | 19 | 2015 |
| Duplicate detection on GPUs B Forchhammer, T Papenbrock, T Stening, S Viehmeier, U Draisbach, ... HPI Future SOC Lab 70 (3), 2013 | 19 | 2013 |
| RDFind: Scalable conditional inclusion dependency discovery in RDF datasets S Kruse, A Jentzsch, T Papenbrock, Z Kaoudi, JA Quiané-Ruiz, ... Proceedings of the 2016 International Conference on Management of Data, 953-967, 2016 | 15 | 2016 |
| MDedup: Duplicate detection with matching dependencies loannis Koumarelas, T Papenbrock, F Naumann Proceedings of the VLDB Endowment 13 (5), 712-725, 2020 | 12 | 2020 |
| Black swan: augmenting statistics with event data J Lorey, F Naumann, B Forchhammer, A Mascher, P Retzlaff, ... Proceedings of the 20th ACM international conference on Information and …, 2011 | 10 | 2011 |
| Inclusion dependency discovery: An experimental evaluation of thirteen algorithms F Dürsch, A Stebner, F Windheuser, M Fischer, T Friedrich, N Strelow, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 9 | 2019 |
| Ein datenbankkurs mit 6000 teilnehmern F Naumann, M Jenders, T Papenbrock Informatik-Spektrum 37 (4), 333-340, 2014 | 8 | 2014 |
Felix NaumannHasso Plattner Institute, University of PotsdamVerified email at hpi.de
