Dustin Lange
Dustin Lange
Verified email at amazon.com
Title
Cited by
Cited by
Year
Extracting structured information from Wikipedia articles to populate infoboxes
D Lange, C Böhm, F Naumann
Proceedings of the 19th ACM international conference on Information and …, 2010
632010
Cross-lingual entity matching and infobox alignment in Wikipedia
D Rinser, D Lange, F Naumann
Information Systems 38 (6), 887-907, 2013
532013
Search for dark matter in events with energetic, hadronically decaying top quarks and missing transverse momentum at TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Journal of High Energy Physics 2018 (6), 27, 2018
522018
Probabilistic demand forecasting at scale
JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ...
Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017
432017
Automating large-scale data quality verification
S Schelter, D Lange, P Schmidt, M Celikel, F Biessmann, A Grafberger
Proceedings of the VLDB Endowment 11 (12), 1781-1794, 2018
412018
Efficient similarity search in very large string sets
D Fenz, D Lange, A Rheinländer, F Naumann, U Leser
International Conference on Scientific and Statistical Database Management …, 2012
182012
Efficient Similarity Search: Arbitrary Similarity Measures, Arbitrary Composition
D Lange, F Naumann
Proceedings of the 20th ACM international conference on Information and …, 2011
162011
Frequency-aware similarity measures: why Arnold Schwarzenegger is always a duplicate
D Lange, F Naumann
Proceedings of the 20th ACM international conference on Information and …, 2011
142011
Deep Learning for Missing Value Imputation in Tables with Non-Numerical Data
F Biessmann, D Salinas, S Schelter, P Schmidt, D Lange
Proceedings of the 27th ACM International Conference on Information and …, 2018
122018
Reach for gold: An annealing standard to evaluate duplicate detection results
T Vogel, A Heise, U Draisbach, D Lange, F Naumann
Journal of Data and Information Quality (JDIQ) 5 (1-2), 1-25, 2014
112014
" Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data
F Biessmann, D Salinas, S Schelter, P Schmidt, D Lange
Proceedings of the 27th ACM International Conference on Information and …, 2018
102018
DataWig: Missing Value Imputation for Tables.
F Biessmann, T Rukat, P Schmidt, P Naidu, S Schelter, A Taptunov, ...
Journal of Machine Learning Research 20 (175), 1-6, 2019
62019
Cost-aware query planning for similarity search
D Lange, F Naumann
Information Systems 38 (4), 455-469, 2013
52013
Differential Data Quality Verification on Partitioned Data
S Schelter, S Grafberger, P Schmidt, T Rukat, M Kiessling, A Taptunov, ...
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1940-1945, 2019
42019
Unit testing data with deequ
S Schelter, F Biessmann, D Lange, T Rukat, P Schmidt, S Seufert, ...
Proceedings of the 2019 International Conference on Management of Data, 1993 …, 2019
32019
An interpretable latent variable model for attribute applicability in the amazon catalogue
T Rukat, D Lange, C Archambeau
arXiv preprint arXiv:1712.00126, 2017
32017
Scientific and Statistical Database Management
D Fenz, D Lange, A Rheinländer, F Naumann, U Leser, A Ailamaki, ...
Lecture Notes in Computer Science 7338, 2012
22012
Projektseminar „Similarity Search Algorithms “
D Lange, T Vogel, U Draisbach, F Naumann
Datenbank-Spektrum, 1-7, 2011
22011
Effective and efficient similarity search in databases
D Lange
12013
Bulk sorted access for efficient top-k retrieval
D Lange, F Naumann
Proceedings of the 25th International Conference on Scientific and …, 2013
2013
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Articles 1–20