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BrewER
BrewER PublicForked from lucazecchini/BrewER
Reference paper: "Entity Resolution On-Demand" (Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Felix Naumann). Proceedings of the VLDB Endowment (PVLDB), vol. 15, n. 7, pp. 1506-1518 (2022)
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sloth
sloth PublicForked from lucazecchini/sloth
Reference paper: "Determining the Largest Overlap between Tables" (Luca Zecchini, Tobias Bleifuß, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann). Proceedings of the ACM on Management of Data …
Python 5
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brewer_demo
brewer_demo PublicReference paper: Luca Zecchini, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann: "BrewER: Entity Resolution On-Demand". Demo paper submitted to Proceedings of the VLDB Endowment (PVLDB), vol. 1…
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radler
radler PublicForked from lucazecchini/radler
A novel solution to produce clean samples of datasets with duplicates following a target group distribution
Repositories
- lakegen_demo Public
- orqa Public
- radler Public Forked from lucazecchini/radler
A novel solution to produce clean samples of datasets with duplicates following a target group distribution
- dbmg_labs_2024 Public
GitHub repository for the Big Data Management and Governance course labs at the University of Modena and Reggio Emilia, taught by Prof. Giovanni Simonini.
- bento Public
The aim of this tool is to compare several frameworks who manage DataFrames on common operations of data preparation.
- publications_generator Public
A script that given a BibTeX generates a webpage of the publications divided by year
- sloth Public Forked from lucazecchini/sloth
Reference paper: "Determining the Largest Overlap between Tables" (Luca Zecchini, Tobias Bleifuß, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann). Proceedings of the ACM on Management of Data (PACMMOD), 2024
- BrewER Public Forked from lucazecchini/BrewER
Reference paper: "Entity Resolution On-Demand" (Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Felix Naumann). Proceedings of the VLDB Endowment (PVLDB), vol. 15, n. 7, pp. 1506-1518 (2022)
- brewer_demo Public
Reference paper: Luca Zecchini, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann: "BrewER: Entity Resolution On-Demand". Demo paper submitted to Proceedings of the VLDB Endowment (PVLDB), vol. 16 (2023)
- sparker Public Forked from Gaglia88/sparker
SparkER: an Entity Resolution framework for Apache Spark
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