Approximate Discovery of Functional Dependencies for Large Datasets-Reference-Cited by-同舟云学术

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Approximate Discovery of Functional Dependencies for Large Datasets

Published:2016-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
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Author:

Bleifuß Tobias¹,Bülow Susanne¹,Frohnhofen Johannes¹,Risch Julian¹,Wiese Georg¹,Kruse Sebastian¹,Papenbrock Thorsten¹,Naumann Felix¹

Affiliation:

1. Hasso Plattner Institute, Potsdam, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2983323.2983781

Reference15 articles.

1. Profiling relational data: a survey

2. DFD

3. Logic-based approach to semantic query optimization

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1. DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data;Proceedings of the VLDB Endowment;2024-07

2. Will Sharing Metadata Leak Privacy?;2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW);2024-05-13

3. Discovering Denial Constraints in Dynamic Datasets;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Measuring Approximate Functional Dependencies: A Comparative Study;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Discovering Functional Dependencies through Hitting Set Enumeration;Proceedings of the ACM on Management of Data;2024-03-12

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