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Dustin Lange

Observed name: Lange, Dustin
OpenAlex ID: A5070190076
Automating large-scale data quality verification
2018 · Sebastian Schelter, Dustin Lange, et al. · Proceedings of the VLDB Endowment · 277
Probabilistic demand forecasting at scale
2017 · Joos-Hendrik Böse, Valentin Flunkert, et al. · Proceedings of the VLDB Endowment · 127
DataWig: Missing Value Imputation for Tables
2019 · Felix Bießmann, Tammo Rukat, et al. · Journal of Machine Learning Research · 88
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data
2018 · Felix Biessmann, David Salinas, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 68
Extracting structured information from Wikipedia articles to populate infoboxes
2010 · Dustin Lange, Christoph Böhm, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 53
Cross-lingual entity matching and infobox alignment in Wikipedia
2012 · Daniel Rinser, Dustin Lange, et al. · Information Systems · 39
Data Is the New Oil
2018 · Marko Javornik, Nives Nadoh, et al. · Lecture notes in mobility · 26
Automated data validation in machine learning systems
2021 · Felix Bießmann, Jacek Gołębiowski, et al. · 22
Unit Testing Data with Deequ
2019 · Sebastian Schelter, Felix Biessmann, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 22
Differential Data Quality Verification on Partitioned Data
2019 · Sebastian Schelter, Stefan Grafberger, et al. · IEEE International Conference on Data Engineering (ICDE) · 16
Efficient Similarity Search in Very Large String Sets
2012 · Dandy Fenz, Dustin Lange, et al. · Lecture notes in computer science · 14
Efficient similarity search
2011 · Dustin Lange, Felix Naumann · ACM International Conference on Information and Knowledge Management (CIKM) · 13
Reach for gold
2014 · Tobias Vogel, Arvid Heise, et al. · Journal of Data and Information Quality · 11
Frequency-aware similarity measures
2011 · Dustin Lange, Felix Naumann · ACM International Conference on Information and Knowledge Management (CIKM) · 10
DEEQU - Data Quality Validation for Machine Learning Pipelines
2018 · Sebastian Schelter, Philipp Schmidt, et al. · 5
Towards Automated ML Model Monitoring: Measure, Improve and Quantify Data Quality
2020 · Tammo Rukat, Dustin Lange, et al. · 3
An interpretable latent variable model for attribute applicability in the Amazon catalogue
2017 · Rukat, Tammo, Lange, Dustin, et al. · arXiv (Cornell University) · 3
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Cost-aware query planning for similarity search
2012 · Dustin Lange, Felix Naumann · Information Systems · 3
Bulk sorted access for efficient top-k retrieval
2013 · Dustin Lange, Felix Naumann · International Conference on Scientific and Statistical Database Management · 1
Projektseminar „Similarity Search Algorithms“
2011 · Dustin Lange, Tobias Vogel, et al. · Datenbank-Spektrum · 1
Works count: 20
Citation count: 802
H-index: 12
I10-index: 14
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