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Cited by
Year
GProM-a swiss army knife for your provenance needs
BS Arab, S Feng, B Glavic, S Lee, X Niu, Q Zeng
A Quarterly bulletin of the Computer Society of the IEEE Technical Committee …, 2018
452018
Data debugging and exploration with vizier
M Brachmann, C Bautista, S Castelo, S Feng, J Freire, B Glavic, ...
Proceedings of the 2019 International Conference on Management of Data, 1877 …, 2019
282019
Uncertainty annotated databases-A lightweight approach for approximating certain answers
S Feng, A Huber, B Glavic, O Kennedy
Proceedings of the 2019 International Conference on Management of Data, 1313 …, 2019
252019
Efficient uncertainty tracking for complex queries with attribute-level bounds
S Feng, B Glavic, A Huber, OA Kennedy
Proceedings of the 2021 International Conference on Management of Data, 528-540, 2021
142021
Debugging transactions and tracking their provenance with reenactment
X Niu, BS Arab, S Lee, S Feng, X Zou, D Gawlick, V Krishnaswamy, ...
arXiv preprint arXiv:1707.09930, 2017
112017
DataSense: display agnostic data documentation
P Kumari, M Brachmann, O Kennedy, S Feng, B Glavic
Conference on Innovative Data Systems Research, 2021
32021
Uncertainty annotated databases-a lightweight approach for approximating certain answers (extended version)
S Feng, A Huber, B Glavic, O Kennedy
arXiv preprint arXiv:1904.00234, 2019
32019
Efficient approximation of certain and possible answers for ranking and window queries over uncertain data (extended version)
S Feng, B Glavic, O Kennedy
arXiv preprint arXiv:2302.08676, 2023
22023
Computing expected multiplicities for bag-TIDBs with bounded multiplicities
S Feng, B Glavic, A Huber, O Kennedy, A Rudra
arXiv preprint arXiv:2204.02758, 2022
12022
Efficient uncertainty tracking for complex queries with attribute-level bounds (extended version)
S Feng, A Huber, B Glavic, O Kennedy
arXiv preprint arXiv:2102.11796, 2021
12021
Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data
S Feng, B Glavic, O Kennedy
Proceedings of the VLDB Endowment 16 (6), 1346-1358, 2023
2023
Efficient Management of Uncertain Data
S Feng
Illinois Institute of Technology, 2023
2023
E icient Uncertainty Tracking for Complex eries with A ribute-level Bounds
S Feng, B Glavic, A Huber, OA Kennedy
2021
Uncertainty Annotated Databases-A Lightweight Approach for Dealing with Uncertainty
S Feng, A Huber, B Glavic, O Kennedy
Technical Report IIT/CS-DB-2018-01, Illinois Institute of Technology, 2018
2018
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