shek21.github.io
Science Score: 31.0%
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Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: shek21
- License: mit
- Language: HTML
- Default Branch: master
- Size: 20.3 MB
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- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 8 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Changelog
License
Citation
README.md
Welcome to UC Database Group Page
Owner
- Login: shek21
- Kind: user
- Repositories: 4
- Profile: https://github.com/shek21
Citation (citations.bib)
@inproceedings{spoth2017adaptive,
title={Adaptive schema databases},
author={Spoth, William and Arab, Bahareh Sadat and Chan, Eric S and Gawlick, Dieter and Ghoneimy, Adel and Glavic, Boris and Hammerschmidt, Beda and Kennedy, Oliver and Lee, Seokki and Liu, Zhen Hua and others},
booktitle={CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research, Chaminade, CA, USA, January 8-11, 2017, Online Proceedings},
year={2017}
}
@article{lee2018provenance,
title={Provenance summaries for answers and non-answers},
author={Lee, Seokki and Lud{\"a}scher, Bertram and Glavic, Boris},
journal={Proceedings of the VLDB Endowment},
volume={11},
number={12},
pages={1954--1957},
year={2018},
publisher={VLDB Endowment}
}
@inproceedings{lee2017integrating,
title={Integrating approximate summarization with provenance capture},
author={Lee, Seokki and Niu, Xing and Lud{\"a}scher, Bertram and Glavic, Boris},
booktitle={9th USENIX Workshop on the Theory and Practice of Provenance (TaPP 2017)},
year={2017}
}
@techreport{lee2015automatic,
title={Automatic generation and ranking of explanations for mapping errors},
author={Lee, Seokki and Wang, Zhen and Glavic, Boris and Miller, Ren{\'e}e J},
year={2015},
institution={Technical report, Illinois Institute of Technology}
}
@inproceedings{lee2017sql,
title={A SQL-middleware unifying why and why-not provenance for first-order queries},
author={Lee, Seokki and K{\"o}hler, Sven and Lud{\"a}scher, Bertram and Glavic, Boris},
booktitle={2017 IEEE 33rd International Conference on Data Engineering (ICDE)},
pages={485--496},
year={2017},
organization={IEEE}
}
@article{lee2018pug,
title={PUG: a framework and practical implementation for why \& why-not provenance (extended version)},
author={Lee, Seokki and Lud{\"a}scher, Bertram and Glavic, Boris},
journal={arXiv preprint arXiv:1808.05752},
year={2018}
}
@inproceedings{lee2016implementing,
title={Implementing Unified Why-and Why-Not Provenance Through Games},
author={Lee, Seokki and K{\"o}hler, Sven and Lud{\"a}scher, Bertram and Glavic, Boris},
booktitle={Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings 6},
pages={209--213},
year={2016},
organization={Springer International Publishing}
}
@article{lee2020approximate,
title={Approximate summaries for why and why-not provenance (extended version)},
author={Lee, Seokki and Lud{\"a}scher, Bertram and Glavic, Boris},
journal={arXiv preprint arXiv:2002.00084},
year={2020}
}
@article{lee2017efficiently,
title={Efficiently computing provenance graphs for queries with negation},
author={Lee, Seokki and Koehler, Sven and Lud{\"a}scher, Bertram and Glavic, Boris},
journal={arXiv preprint arXiv:1701.05699},
year={2017}
}
@techreport{lee2015efficient,
title={An efficient implementation of game provenance in DBMS},
author={Lee, Seokki and Tang, Yuchen and K{\"o}hler, Sven and Lud{\"a}scher, Bertram and Glavic, Boris},
year={2015},
institution={Technical Report IIT/CS-DB-2015-02, Illinois Institute of Technology}
}
@inproceedings{diestelkamper2019query,
title={Query-based why-not explanations for nested data},
author={Diestelk{\"a}mper, Ralf and Glavic, Boris and Herschel, Melanie and Lee, Seokki},
booktitle={11th International Workshop on Theory and Practice of Provenance (TaPP 2019)},
year={2019}
}
@article{lee2019pug,
title={PUG: a framework and practical implementation for why and why-not provenance},
author={Lee, Seokki and Lud{\"a}scher, Bertram and Glavic, Boris},
journal={The VLDB Journal},
volume={28},
number={1},
pages={47--71},
year={2019},
publisher={Springer Berlin Heidelberg Berlin/Heidelberg}
}
@article{arab2018gprom,
title={GProM-a swiss army knife for your provenance needs},
author={Arab, Bahareh Sadat and Feng, Su and Glavic, Boris and Lee, Seokki and Niu, Xing and Zeng, Qitian},
journal={A Quarterly bulletin of the Computer Society of the IEEE Technical Committee on Data Engineering},
volume={41},
number={1},
year={2018}
}
@article{niu2017debugging,
title={Debugging transactions and tracking their provenance with reenactment},
author={Niu, Xing and Arab, Bahareh Sadat and Lee, Seokki and Feng, Su and Zou, Xun and Gawlick, Dieter and Krishnaswamy, Vasudha and Liu, Zhen Hua and Glavic, Boris},
journal={arXiv preprint arXiv:1707.09930},
year={2017}
}
@phdthesis{lee2020and,
title={Why and Why-Not Provenance for Queries with Negation},
author={Lee, Seokki},
year={2020},
school={Illinois Institute of Technology}
}
@inproceedings{jung2021using,
title={Using provenance to evaluate risk and benefit of data sharing},
author={Jung, Taeho and Lee, Seokki and Tang, Wenyi},
booktitle={13th International Workshop on Theory and Practice of Provenance (TaPP 2021)},
year={2021}
}
@inproceedings{diestelkamper2021not,
title={To not miss the forest for the trees-A holistic approach for explaining missing answers over nested data},
author={Diestelk{\"a}mper, Ralf and Lee, Seokki and Herschel, Melanie and Glavic, Boris},
booktitle={Proceedings of the 2021 International Conference on Management of Data},
pages={405--417},
year={2021}
}
@article{diestelkamper2021debugging,
title={Debugging missing answers for spark queries over nested data with breadcrumb},
author={Diestelk{\"a}mper, Ralf and Lee, Seokki and Glavic, Boris and Herschel, Melanie},
journal={Proceedings of the VLDB Endowment},
volume={14},
number={12},
pages={2731--2734},
year={2021},
publisher={VLDB Endowment}
}
@inproceedings{rawat2022measuring,
title={Measuring information gain using provenance},
author={Rawat, Shemon and Lee, Seokki and Jung, Taeho},
booktitle={Proceedings of the 14th International Workshop on the Theory and Practice of Provenance},
pages={1--4},
year={2022}
}
@inproceedings{turnau2023provenance,
title={Provenance-based Explanations for Machine Learning (ML) Models},
author={Turnau, Justin and Akwari, Nkechi and Lee, Seokki and Rajput, Dwarkesh},
booktitle={2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)},
pages={40--43},
year={2023},
organization={IEEE}
}
@inproceedings{moshtaghi2023efficient,
title={Efficient sampling for big provenance},
author={Moshtaghi Largani, Sara and Lee, Seokki},
booktitle={Companion Proceedings of the ACM Web Conference 2023},
pages={1508--1511},
year={2023}
}
@inproceedings{lee2023hybrid,
title={Hybrid Query and Instance Explanations and Repairs},
author={Lee, Seokki and Glavic, Boris and Chapman, Adriane and Lud{\"a}scher, Bertram},
booktitle={Companion Proceedings of the ACM Web Conference 2023},
pages={1559--1562},
year={2023}
}